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Topical Steroid Withdrawal Is a Targetable Excess of Mitochondrial NAD+

Journal of Investigative Dermatology 2025年

作者： Shobnam, Nadia Ratley, Grace Saksena, Sarini Yadav, Manoj Chaudhary, Prem Prashant Sun, Ashleigh A. Howe, Katherine N. Gadkari, Manasi Franco, Luis M. Ganesan, Sundar McCann, Katelyn J. Hsu, Amy P. Kanakabandi, Kishore Ricklefs, Stacy Lack, Justin Yu, Weiming Similuk, Morgan Walkiewicz, Magdalena A. Gardner, Donna D. Barta, Kelly Tullos, Kathryn Myles, Ian A. Epithelial Therapeutics Unit Laboratory of Clinical Immunology and Microbiology National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD United States Laboratory of Clinical Immunology and Microbiology National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD United States Functional Immunogenomics Section Systemic Autoimmunity Branch National Institute of Arthritis and Musculoskeletal and Skin Diseases National Institutes of Health Bethesda MD United States Biological Imaging Section Research Technology Branch National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD United States Genomic Research Section Research Technologies Branch Rocky Mountain Laboratories National Institute of Allergy and Infectious Diseases National Institutes of Health Hamilton MT United States Integrated Data Science Section Research Technologies Branch National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD United States Lymphocyte Biology Section Laboratory of Immune System Biology National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD United States Centralized Sequencing Program Division of Intramural Research National Institute of Allergy and Infectious Diseases Bethesda MD United States Allergy & Asthma Network Fairfax VA United States International Topical Steroid Awareness Network Dacula GA United States

Topical steroid withdrawal (TSW) is a controversial diagnosis advocated by patients but often confused for atopic dermatitis. We conducted a multimodal pilot study of 16 patients fitting the TSW diagnostic profile, contrasting them against patients with atopic dermatitis (n = 10) and healthy controls (n = 11). Our clinical evaluations established objective diagnostic criteria that distinguish TSW from atopic dermatitis, metabolomics and transcriptomics of skin biopsies suggested that neuroinflammatory pathways are associated with complex I–mediated oxidation of NAD+, cellular and mouse models demonstrated that NAD+ metabolism was proinflammatory and glucocorticoid responsive, whereas functional assays demonstrated that the metabolic effects of glucocorticoids on the only cell type that aligns with the distribution and duration of TSW pathology could be mitigated by complex I blockade. These results informed a successful open-label trial using complex I–inhibiting interventions: metformin and berberine. Although this work represents a pilot study, to our knowledge, this work offers previously unreported mechanistic insights into TSW. © 2025 The Authors

关键词： Atopic dermatitis Eczema Glucocorticoids Topical steroid withdrawal Topical steroids

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Evaluating Large Language Models for Enhancing Radiology Specialty Examination: A Comparative Study with Human Performance

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Academic Radiology 2025年

作者： Liu, Hao-Yun Chen, Shyh-Jye Wang, Weichung Lee, Chung-Hsi Hsu, Hsian-He Shen, Shu-Huei Chiou, Hong-Jen Lee, Wen-Jeng Department of Medical Imaging National Taiwan University Hospital Hsin-Chu Branch Br. No.25 Lane 442 Sec.1 Jingguo Rd Hsinchu City 300 Taiwan National Taiwan University College of Medicine No.1 Jen Ai Road Section 1 Taipei 100 Taiwan Department of Medical Imaging National Taiwan University Hospital No. 7 Zhongshan S. Rd. Zhongzheng Dist. Taipei City 100229 Taiwan Institute of Applied Mathematical Sciences Department of Mathematics and Data Science Degree Program National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei 106319 Taiwan Graduate Institute of Health and Biotechnology Law Taipei Medical University 250 Wuxing Street Taipei City Taiwan Department of Radiology Tri-Service General Hospital National Defense Medical Center No.325 Sec.2 Chenggong Rd. Neihu District Taipei City Taiwan Department of Radiology Taipei Veterans General Hospital No.201 Sec. 2 Shipai Rd. Beitou District Taipei City Taiwan National Yang Ming Chiao Tung University School of Medicine No. 118 Sec. 1 Zhongxiao West Road Taipei City 100 Taiwan

Rationale and Objectives: The radiology specialty examination assesses clinical decision-making, image interpretation, and diagnostic reasoning. With the expansion of medical knowledge, traditional test design faces challenges in maintaining accuracy and relevance. Large language models (LLMs) demonstrate potential in medical education. This study evaluates LLM performance in radiology specialty exams, explores their role in assessing question difficulty, and investigates their reasoning processes, aiming to develop a more objective and efficient framework for exam design. Materials and Methods: This study compared the performance of LLMs and human examinees in a radiology specialty examination. Three LLMs (GPT-4o, o1-preview, and GPT-3.5-turbo-1106) were evaluated under zero-shot conditions. Exam accuracy, examinee accuracy, discrimination index, and point-biserial correlation were used to assess LLMs’ ability to predict question difficulty and reasoning processes. The data provided by the Taiwan Radiological Society ensures comparability between AI and human performance. Results: As for accuracy, GPT-4o (88.0%) and o1-preview (90.9%) outperformed human examinees (76.3%), whereas GPT-3.5-turbo-1106 showed significantly lower accuracy (50.2%). Question difficulty analysis revealed that newer LLMs excel in solving complex questions, while GPT-3.5-turbo-1106 exhibited greater performance variability. Discrimination index and point-biserial Correlation analyses demonstrated that GPT-4o and o1-preview accurately identified key differentiating questions, closely mirroring human reasoning patterns. These findings suggest that advanced LLMs can assess medical examination difficulty, offering potential applications in exam standardization and question evaluation. Conclusion: This study evaluated the problem-solving capabilities of GPT-3.5-turbo-1106, GPT-4o, and o1-preview in a radiology specialty examination. LLMs should be utilized as tools for assessing exam question dif

关键词： Accuracy Evaluation GPT LLMs Radiology specialty examination

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Barriers to Allogeneic Stem Cell Transplant in Patients with Malignant and Non-Malignant Hematologic Conditions

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Transplantation and Cellular Therapy 2025年第2期31卷 S359-S359页

作者： Burkart, Madelyn, MD Jabir, Abdur Rahman, MD Guasch, Sara Alicia, MD Isom, Scott, MS Jennings, Mrs. Rebecca, MSN, RN, BMTCN, OCN Grunwald, Michael Richard, MD Pang, Yifan, MD Howard, Dianna S., MD Wofford, Anne, MD Atrium health Wake Forest Baptist Comprehensive Cancer Center Winston Salem NC Department of Internal Medicine Atrium Health Wake Forest Baptist Medical Center Winston Salem NC Biostatistics and Data Science Atrium Health Wake Forest Baptist Comprehensive Cancer Center Winston Salem NC BMT Quality Atrium Health Wake Forest Baptist Winston Salem NC Department of Hematologic Oncology and Blood Disorders Atrium Health Levine Cancer Institute Charlotte NC Atrium Health Levine Cancer Institute Charlotte NC Stem Cell Transplant and Cellular Therapy Program Atrium Health Wake Forest Baptist Comprehensive Cancer Center Winston Salem NC Atrium Health Wake Forest Baptist Comprehensive Cancer Center Winston Salem NC

BackgroundAllogeneic stem cell transplant (HSCT) is a curative modality for many hematological conditions. Several advances have contributed to significant improvement of transplant accessibility including reduced intensity conditioning regimens and use of alternative donors. However, given the complexity of and need for specialized care there are still numerous barriers to HSCT. We explore these barriers in patients (pts) referred for HSCT at our center and present descriptive data, including disease and social characteristics, on the first 98 pts of our cohort. MethodsThis is a retrospective review of pts (age >/= 18 years) with malignant and non-malignant hematologic conditions referred for HSCT at Atrium Health Wake Forest Baptist Comprehensive Cancer Center during 2017- 2022 to query what factors influenced rates of HSCT. Barriers examined include comorbidities, age, psychosocial barriers, caregiver support, donor availability, pt preference, progression of disease (POD), death and other. ResultsTable 1 shows pt characteristics; 40 received HSCT, 55% were male, 78% were non-Hispanic white. Median age was 59.5 years. 65% of pts had a diagnosis of acute leukemia. Most pts were referred in first CR; this did not differ in HSCT and non-HSCT pts (67.5% vs 53.4%). There was no significant difference in sex, race/ethnicity, payer source, marital status or neighborhood deprivation using the national Area Deprivation Index between the two groups. The main barriers to HSCT included comorbidities (22.4%), pt preference (22.4%) and POD (12.1%). Overall, 44 pts died; 34 did not receive an HSCT with 68% of deaths due to relapsed disease. OS was worse in non-HSCT pts compared to HSCT recipients at 1 year (82% vs 97%), 2 years (62% vs 87%) and 3 years (47% vs 75%). DiscussionPt preference and comorbidities were the main barriers to HSCT, with psychosocial barriers, caregiver support and donor availability playing a lesser role. This emphasizes the need for multidisciplinary ap

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A knowledge graph-based approach for exploring the U.S. opioid epidemic

arXiv

引用

arXiv 2019年

作者： Kamdar, Maulik R. Hamamsy, Tymor Shelton, Shea Vala, Ayin Eftimov, Tome Zou, James Tamang, Suzanne Biomedical Informatics Training Program Stanford University United States Center for Population Health Sciences Stanford University United States Foundation for Precision Medicine San Francisco United States Department of Biomedical Data Science Stanford University United States

The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids, has led to a public health crisis and created a huge social and economic burden. Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required. However, the semantic heterogeneity in the representation of clinical data across different centers makes the development and evaluation of such methods difficult and non-trivial. We create the Opioid Drug Knowledge Graph (ODKG) - a network of opioid-related drugs, active ingredients, formulations, combinations, and brand names. We use the ODKG to normalize drug strings in a clinical data warehouse consisting of patient data from over 400 healthcare facilities in 42 different states. We showcase the use of ODKG to generate summary statistics of opioid prescription trends across US regions. These methods and resources can aid the development of advanced and scalable models to monitor the opioid epidemic and to detect illicit opioid misuse behavior. Our work is relevant to policymakers and pain researchers who wish to systematically assess factors that contribute to opioid over-prescribing and iatrogenic opioid addiction in the US. Copyright © 2019, The Authors. All rights reserved.

关键词： Epidemiology

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Pragmatic Comparative Effectiveness Trials in Rheumatoid Arthritis-Associated Interstitial Lung Disease: A Multiperspective Qualitative Study

CHEST Pulmonary

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CHEST Pulmonary 2025年第2期3卷

作者： Kaczorowski-Worthley, Angela Mudaranthakam, Dinesh Pal Reichuber, Janell Streiler, Chris Pandya, Sahil Boente, Ryan Mathai, Susan K. Adegunsoye, Ayodeji Swigris, Jeff Volkmann, Elizabeth R. Solomon, Joshua J. England, Bryant R. Matson, Scott M. University of Kansas School of Medicine Kansas City KS United States Department of Biostatistics and Data Science Kansas City KS United States Interstitial Lung Disease Clinical Trials Program University of Kansas Medical Center Kansas City KS United States Department of Pulmonary Critical Care Medicine University Health Kansas City MO United States Department of Pulmonary Critical Care and Sleep Medicine University of Kansas Medical Center Kansas City KS United States Department of Pulmonary Critical Care Sleep and Occupational Medicine Indiana University School of Medicine Indianapolis IN United States Center for Advanced Heart and Lung Disease Baylor University Medical Center and Texas A&M University School of Medicine Dallas TX United States Section of Pulmonary & Critical Care Department of Medicine University of Chicago Chicago IL United States Department of Medicine Division of Pulmonary Critical Care & Sleep Medicine National Jewish Health Denver CO United States Department of Medicine Division of Rheumatology University of California Los Angeles Los Angeles CA United States Division of Rheumatology & Immunology University of Nebraska Medical Center Omaha NE United States Veterans Affairs Nebraska-Western Iowa Health Care System Omaha NE United States

Background: Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) portends a devastating prognosis for patients, with survival typically being < 5 to 8 years after diagnosis. Limited clinical trial data exist to guide treatment strategies, and the efficacy of current strategies—immunomodulation and antifibrotics—remains uncertain. Large randomized controlled trials are costly, but pragmatic trial designs could reduce expenses. Establishing equipoise and assessing feasibility from both patient and expert perspectives are essential for developing these trials. Research Question: What are the perceptions of RA-ILD experts and patients with interstitial lung disease surrounding equipoise, feasibility, and trial design? Study Design and Methods: A qualitative study involving a panel of 10 RA-ILD experts and 3 patient panels was conducted. Experts were recruited via snowball sampling, and patient panels included 29 individuals with interstitial lung disease or their caregivers. Discussions were transcribed and analyzed using inductive coding, creating a thematic network based on the Attride-Stirling guidelines. Results: Expert themes included variability in treatment strategies, prioritizing patient-reported outcomes and balancing pragmatism with data collection in trial design. Patient themes highlighted outcomes of importance, participation barriers, and the need for patient-centered research. Interpretation: Both expert and patient panels endorsed using real-world clinical outcomes and patient-reported outcomes as primary trial end points. Pragmatic trials could reduce costs and expand inclusion criteria, highlighting the potential of patient-centered approaches in RA-ILD research. © 2025

关键词： antifibrotics interstitial lung disease pragmatic trial rheumatoid arthritis interstitial lung disease

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In-silico structural and functional analysis of nonsynonymous single nucleotide polymorphisms in human FOLH1 gene

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In silico pharmacology 2025年第1期13卷 32页

作者： Abtin Tondar Muhammad Irfan Sergio Sánchez-Herrero Hafsa Athar Aleena Haqqi Asim Kumar Bepari Laura Calvet Liñán David Hervás Marin Department of Computer Science Multimedia and Telecommunication Interuniversity Doctoral Program in Bioinformatics Universitat Oberta de Catalunya Barcelona (UOC) Spain. Stanford Deep Data Research Center Stanford University Stanford USA. Atta-Ur-Rahman School of Applied Biosciences (ASAB) National University of Sciences and Technology (NUST) Islamabad Punjab Pakistan. School of Medical Laboratory Technology Minhaj University Lahore (MUL) Lahore Punjab Pakistan. Department of Pharmaceutical Sciences North South University (NSU) Dhaka Bangladesh. Telecommunications and Systems Engineering Department Universitat Autònoma de Barcelona (UAB) Sabadell Spain. Department of Applied Statistics and Operational Research and Quality Alcoy Universitat Politècnica de València (UPV) Alcoy Spain.

Non-synonymous single nucleotide polymorphisms (nsSNPs), also known as missense SNPs, can seriously affect an individual’s vulnerability to numerous diseases, including cancer. In this study, we conducted a comprehensive in-silico analysis to examine the structural and functional implications of nsSNPs within the Folate Hydrolase 1(FOLH1) gene, which encodes the Prostate-Specific Membrane Antigen (PSMA). A total of 504 SNPs were retrieved, and after filtering, 15 pathogenic nsSNPs were identified using five different in-silico tools. Three of these SNPs—R255H (rs375565491), R255C (rs201789325), and G168E (rs267602926)—were consistently predicted to be pathogenic across all in-silico tools. MutPred2 was used to predict the structural and functional consequences of the identified mutations. The analysis revealed multiple alterations in the PSMA protein, including changes in helical conformations, glycosylation patterns, transmembrane properties, and solvent accessibility. Furthermore, I-Mutant 2.0 analysis demonstrated a decrease in protein stability for most nsSNPs, except for rs267602926 (G168E), which was predicted to increase stability. Conservation analysis using ConSurf revealed varying degrees of amino acid conservation, with R255H and R255C identified as highly conserved residues, indicating their potential functional and structural significance. Additionally, post-translational modification (PTM) analysis indicated that while phosphorylation and methylation sites remained unchanged, specific glycosylation sites were lost in two pathogenic mutant variants (R255H and R255C), potentially affecting PSMA function and adversely impacting prostate cancer. Our findings highlight the importance of in silico studies to investigate the structural and functional impacts of FOLH1 nsSNPs on the PSMA protein. Such in silico studies can deepen our understanding of the roles of nsSNPs in prostate cancer onset, progression, and drug resistance.

关键词： FOLH1 In-silico structural and functional analyses PSMA PTM nsSNPs

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Incidence trends of oral cavity, oropharyngeal, hypopharyngeal and laryngeal cancers among males in Taiwan, 1980-2019: a population-based cancer registry study

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BMC cancer 2023年第1期23卷 213页

作者： Yu-Shiun Tsai Yong-Chen Chen Tzu-I Chen Yu-Kwang Lee Chun-Ju Chiang San-Lin You Wan-Lun Hsu Li-Jen Liao School of Medicine College of Medicine Fu-Jen Catholic University New Taipei City 242 Taiwan. Master Program of Big Data Analysis in Biomedicine College of Medicine Fu Jen Catholic University New Taipei City 242 Taiwan. Data Science Center College of Medicine Fu Jen Catholic University New Taipei City 242 Taiwan. Graduate Institute of Business Administration College of Management Fu Jen Catholic University New Taipei City 242062 Taiwan. Division of General Surgery Department of Surgery National Taiwan University Hospital Taipei 100 Taiwan. Graduate Institute of Epidemiology and Preventive Medicine College of Public Health National Taiwan University Taipei 10055 Taiwan. Master Program of Big Data Analysis in Biomedicine College of Medicine Fu Jen Catholic University New Taipei City 242 Taiwan. 156521@mail.fju.edu.tw. Data Science Center College of Medicine Fu Jen Catholic University New Taipei City 242 Taiwan. 156521@mail.fju.edu.tw. Otolaryngology Head and Neck Surgery Far Eastern Memorial Hospital No. 21 Sec. 2 Nanya S. Rd. Banciao Dist. New Taipei City 220 Taiwan. liaolj@ntu.edu.tw. Head and Neck Cancer Surveillance & Research Group Far Eastern Memorial Hospital New Taipei Taiwan. liaolj@ntu.edu.tw. Department of Electrical Engineering Yuan Ze University Taoyuan Taiwan. liaolj@ntu.edu.tw.

In a country with a high prevalence of cigarette smoking, betel chewing, and alcohol drinking, cancers of the oral cavity, nasopharynx, and larynx were the fourth, twelfth and seventeenth leading causes of cancer death, respectively, for men in 2020. We analyzed patients with head and neck cancer from 1980 to 2019 from the Taiwan Cancer Registration database and discussed the annual average percent change, average percent change, age period, and birth cohort. Obvious period effects and birth effects are seen in oral, oropharyngeal, and hypopharyngeal cancer; however, the most significant period effect was seen between 1990 and 2009, which mainly reflects the consumption of betel nuts per capita. In addition, the period effect lessens after 2010 in oral cancer and hypopharyngeal cancers, while oropharyngeal cancers remain an obvious period effect, which results from the rising prevalence of HPV. Due to the high prevalence rate of betel quid chewing and cigarette smoking in the 1990s, the government executed several acts. As a result, the age-adjusted incidence rates of oral, oropharyngeal, and hypopharyngeal cancers have flattened since 2010, which can be explained by the declining cigarette smoking rate. The strict policy indeed shows an obvious effect on the head and neck cancer incidence rates, and we expect to see a further decline in the future.

关键词： Age-period-cohort effect Head and neck cancers Incidence Secular trend

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NOAA CoastWatch/Ocean Watch/PolarWatch: Ocean satellite data and services for US Gulf Coast, Central Pacific, and global applications and information

NOAA CoastWatch/Ocean Watch/PolarWatch: Ocean satellite data...

引用

OCEANS

作者： Veronica P. Lance Melanie Abecassis Michael Soracco Merrie Beth Neely Joaquin Trinaues Gustavo Goni NOAA CoastWatch/Ocean Watch/PolarWatch Program National Oceanic and Atmospheric Administration National Environmental Satellite —Data and Information Service Center for Satellite Applications and Research College Park MD USA NOAA Central Pacific OceanWatch CISESS ESSIC University of Maryland College Park MD USA NOAA CoastWatch Central Operations Riva Solutions Inc. McLean VA USA NOAA CoastWatch/Ocean Watch/PolarWatch Program Global Science and Technology Inc. Greenbelt MD USA NOAA Gulf of Mexico Caribbean and Atlantic OceanWatch CRETUS Universidade de Santiago de Compostela Santiago Spain

ISBN: (数字)9781728154466

ISBN: (纸本)9781728184098

The National Oceanic and Atmospheric Administration (NOAA) CoastWatch/OceanWatchPolarWatch (a.k.a. “CoastWatch”) aims to improve decision outcomes by facilitating the use of ocean satellite data in applications and research for understanding, managing and protecting ocean, coastal and inland water resources and for assessing impacts of environmental change in ecosystems, human health, weather, and climate. Earth observations from space have the advantage of broad spatial and repeating temporal coverage that complement in situ measurements.. CoastWatch satellite data products are free and open (publicly available without the need for registration), and include multiple environmental parameters such as sea surface temperature, ocean color (e.g. chlorophyll), sea surface height (altimetry), ocean winds, surface roughness (synthetic aperture radar), salinity and sea ice. CoastWatch also distributes outputs from environmental models which incorporate several of these basic physical parameters to derive more complex information. These products cover multiple spatial regions (global and regional coverage) and near real-time as well as delayed-mode, higher quality and longer term time series datasets. CoastWatch customizes, serves, and monitors ocean satellite data products from NOAA and other environmental satellite missions. CoastWatch is well positioned to link upstream ocean satellite data producers with downstream user needs for real life applications. Our central “hub” is colocated with the ocean satellite data scientists in College Park, MD and our “spokes” are our seven regional Nodes distributed geographically around the country and across NOAA mission line offices. Our Gulf of Mexico Node is co-located with the NOAA Office of Ocean and Atmospheric Research, in the Atlantic Oceanographic and Meteorological Laboratory (NOAA/OAR/AOML) in Miami, FL. Our Central Pacific Ocean Watch Node is co-located with the National Marine Fisheries Service at the Pacific Islands Fis

关键词： Temperature measurement Sea surface Satellites US Government agencies Surface roughness Rough surfaces Ocean temperature

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SkyMapper optical follow-up of gravitational wave triggers: Alert science data Pipeline and LIGO/Virgo O3 Run

arXiv

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arXiv 2021年

作者： Chang, Seo-Won Onken, Christopher A. Wolf, Christian Luvaul, Lance Möller, Anais Scalzo, Richard Schmidt, Brian P. Scott, Susan M. Sura, Nikunj Yuan, Fang Research School of Astronomy and Astrophysics Australian National University CanberraACT2611 Australia Australia Centre for Gravitational Astrophysics Australian National University ACT2601 Australia SNU Astronomy Research Center Seoul National University 1 Gwanak-rho Gwanak-gu Seoul08826 Korea Republic of Astronomy program Dept. of Physics & Astronomy Seoul National University 1 Gwanak-rho Gwanak-gu Seoul08826 Korea Republic of Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-FerrandF-63000 France Centre for Translational Data Science University of Sydney DarlingtonNSW2008 Australia Research School of Physics Australian National University CanberraACT2601 Australia

We present an overview of the SkyMapper optical follow-up program for gravitational-wave event triggers from the LIGO/Virgo observatories, which aims at identifying early GW170817-like kilonovae out to ∼ 200 Mpc distance. We describe our robotic facility for rapid transient follow-up, which can target most of the sky at δ AB ≈ 20 mag. We have implemented a new software pipeline to receive LIGO/Virgo alerts, schedule observations and examine the incoming real-time data stream for transient candidates. We adopt a real-bogus classifier using ensemble-based machine learning techniques, attaining high completeness (∼98%) and purity (∼91%) over our whole magnitude range. Applying further filtering to remove common image artefacts and known sources of transients, such as asteroids and variable stars, reduces the number of candidates by a factor of more than 10. We demonstrate the system performance with data obtained for GW190425, a binary neutron star merger detected during the LIGO/Virgo O3 observing campaign. In time for the LIGO/Virgo O4 run, we will have deeper reference images allowing transient detection to iAB ≈21 mag. Copyright © 2021, The Authors. All rights reserved.

关键词： Gravity waves

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An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter

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Procedia Computer science 2018年 135卷 579-586页

作者： Kahlil Muchtar Faris Rahman Tjeng Wawan Cenggoro Arif Budiarto Bens Pardamean Nodeflux Inc. Jakarta Indonesia Syiah Kuala University Aceh Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

Foreground segmentation is one of moving object detection techniques of computer vision applications. To date, modern moving object detection methods require complex background modeling and thresholds tuning to confront illumination changes. This paper proposes an adaptive approach based on non-overlapping block texture representation. It aims to design a computationally light and efficient solution to improve the robustness of detection. We evaluate our proposed method on internal and public sequences and provide the quantitative and qualitative measurements. Experimental results show that the proposed method can improve the results of previous method and suitable for real-time challenges.

关键词： change detection foreground segmentation texture features

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