检索结果-内蒙古大学图书馆

medical Imaging 2025: Digital and Computational Pathology

作者： Khalili, Nadieh Spronck, Joey Ciompi, Francesco van der Laak, Jeroen Litjens, Geert Computational Pathology Group Department of Pathology Radboud University Medical Center Nijmegen Netherlands Center for Medical Image Science and Visualization Linköping University Linköping Sweden

ISBN: (纸本)9781510686045

Deep learning algorithms are frequently criticized for their'black box' nature and lack of transparency for reliable clinical implementation. This issue is particularly pronounced where they encounter out-of-domain distributions because of differences in staining between centers. However, this limitation provides a distinct opportunity for continuous learning. The Uncertainty-Guided Annotation (UGA) framework introduces a human-in-the-loop approach, allowing artificial intelligence to communicate its uncertainties to clinicians, effectively serving as an automated quality control mechanism. UGA facilitates this interaction by quantifying uncertainty at the pixel level, thus identifying the model's deficiencies and enabling clinician-guided refinements. We evaluated UGA in the Camelyon dataset for lymph node metastasis segmentation, demonstrating that UGA improved the Dice coefficient (DC) from 0.66 to 0.76, and subsequently to 0.84 by incorporating five and then manually corrected patches, respectively. To encourage broader implementation and community collaboration, we have made our code accessible at GitHub. © 2025 SPIE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Characterization, Outcomes, and Time to Event Predictors of Urinary Tract Infections Acquired During Postacute Stroke Inpatient Rehabilitation: A Comprehensive Cohort Study

引用

Archives of Physical Medicine and Rehabilitation 2025年第5期106卷 729-737页

作者： García-Rudolph, Alejandro Albu, Sergiu Wright, Mark Andrew Laya, Maria del Mar Teixido, Claudia Opisso, Eloy Cedersund, Gunnar Bernabeu, Montserrat Department of Research and Innovation Institut Guttmann Institut Universitari de Neurorehabilitació adscrit a la UAB Badalona Barcelona Spain Universitat Autònoma de Barcelona Bellaterra (Cerdanyola del Vallès) Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol Badalona Barcelona Spain Department of Biomedical Engineering Linköping University Linköping Sweden Center for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden School of Medical Sciences Faculty of Medicine and Health Örebro University Örebro Sweden

Objectives: To (1) compare baseline clinical and demographic characteristics of postacute stroke inpatients who were diagnosed with first-time urinary tract infection (UTI) versus inpatients who were not;(2) compare rehabilitation outcomes between both groups;and (3) examine associations between time to UTI event and risk factors. Design: Retrospective observational cohort study. Setting: Institution for inpatient neurologic rehabilitation. Participants: Inpatients (n=1683) admitted within 3 months poststroke to a rehabilitation facility between 2005 and 2023. Interventions: Not applicable. Main Outcome Measures: Functional independence measure (FIM), functional ambulation categories (FACs) at admission. Cox proportional hazard models analyzed the association between UTI event timing and risk factors. Results: Of the (n=1683) included patients, 196 (11.6%) experienced a UTI. In 32.1% of cases, the UTI occurred during the first week after admission to rehabilitation and 47.9% of UTIs occurred during the first 2 weeks. The median (interquartile range) time to UTI was 16 (5-37) days since admission. Most common germs were Escherichia coli (40.5%), Klebsiella pneumoniae (23.7%), and Pseudomonas aeruginosa (6.4%). Patients who acquired a UTI had older age, higher stroke severity, higher proportion of dysphagia, hypertension, neglect, bilateral affectation, atrial fibrillation, hemiplegia, lower levels of functional independence, and lower FAC. We identified no differences in gender, type of stroke (ischemic or hemorrhagic), time to admission, aphasia, diabetes, dyslipidemia, chronic obstructive pulmonary disease, dominant side affected, and educational level between both groups. Patients with UTI presented significantly poorer rehabilitation outcomes including lower discharge FIM and FAC, larger length of stay, lower FIM efficiency, and decreased FIM effectiveness. Multivariable Cox proportional hazards identified hypertension HR=1.60 (1.13-2.27), admission FIM HR=0.98 (

关键词： Inpatient Rehabilitation Stroke Survival analysis Urinary tract infection

来源：评论

学校读者我要写书评

暂无评论

Coronary computed tomography angiography in primary care patients with chest pain or dyspnea – a cross-sectional study

引用

BMC Primary Care 2025年第1期26卷 1-11页

作者： Stertman, Erik Gabro, Fade Sandstedt, Mårten Sysoev, Oleg Lauermann, Jörg Östgren, Carl Johan Lawesson, Sofia Sederholm Engvall, Jan Nilsson, Staffan Iredahl, Fredrik Primary Health Care Center Department of Health Medicine and Caring Sciences Faculty of Medicine and Health Sciences Linköping University Universitetssjukhuset Linköping 581 83 Sweden Department of Radiology in Linköping Department of Health Medicine and Caring Sciences Linköping University Linköping Sweden Center for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden Department of Computer and Information Science Linköping University Linköping Sweden Department of Cardiology Jönköping Region Jönköping County and Department of Health Medicine and Caring Sciences Linköping University Linköping Sweden Department of Cardiology Department of Health Medicine and Caring Sciences Linköping University Linköping Sweden Department of Clinical Physiology in Linköping Department of Health Medicine and Caring Sciences Linköping University Linköping Sweden Wallenberg Centre for Molecular Medicine Linköping University Linköping Sweden

Aims: Coronary Computed Tomography Angiography (CCTA) is recommended as a first-line investigation to exclude significant coronary artery stenosis in case of low to intermediate pre-test probability (PTP). The aim was to investigate CCTA findings in relation to the PTP of patients referred directly from primary health care centres. Methods/Results: In this retrospective cohort study consecutive primary care CCTA referrals in a Swedish county 1st of June 2021 until 30th Nov. 2022 were included. CCTA reports were obtained for 483 patients ≥ 30 years old, without known CAD and stratified as no CAD, with atheromatosis or with suspected significant stenosis. For the 381 patients with eligible PTP data, the mean age was 60 years and 70% were women. While the median PTP was 11%, significant stenosis was suspected on CCTA in 18%. Among patients with PTP ≤ 15%, CCTA exposed no significant stenosis in 88%. No significant stenosis was found in patients with PTP < 5% true to patient age and gender in a sensitivity analysis (n = 25). Conclusions: CCTA ruled out coronary stenosis as the cause of chest pain and dyspnea in 88% of patients referred from primary care with PTP 5–15%. PTP estimations by primary care physicians in CCTA referrals agreed with the occurrence of suspected significant stenosis among patients with PTP 5–15%, but underestimated it in PTP > 15%. The validity of PTP estimates < 5% was low. © The Author(s) 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Classification of Short Time Series in Early Parkinson’s Disease With Deep Learning of Fuzzy Recurrence Plots

引用

IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1306-1317页

作者： Tuan D.Pham Karin Wardell Anders Eklund Goran Salerud Department of Biomedical Engineering the Center for Medical Image Science and VisualizationLinkoping UniversityLinkopingSweden the Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityAl KhobarKingdom of Saudi Arabia Department of Biomedical Engineering Linkoping UniversityLinkopingSweden Department of Biomedical Engineering the Department of Computer and Information Sciencethe Center for Medical Image Science and VisualizationLinkoping UniversityLinkopingSweden

There are many techniques using sensors and wearable devices for detecting and monitoring patients with Parkinson’s disease(PD).A recent development is the utilization of human interaction with computer keyboards for analyzing and identifying motor signs in the early stages of the *** designs for classification of time series of computer-key hold durations recorded from healthy control and PD subjects require the time series of length to be considerably *** an attempt to avoid discomfort to participants in performing long physical tasks for data recording,this paper introduces the use of fuzzy recurrence plots of very short time series as input data for the machine training and classification with long short-term memory(LSTM)neural *** an original approach that is able to both significantly increase the feature dimensions and provides the property of deterministic dynamical systems of very short time series for information processing carried out by an LSTM layer architecture,fuzzy recurrence plots provide promising results and outperform the direct input of the time series for the classification of healthy control and early PD subjects.

关键词： Deep learning early Parkinson’s disease(PD) fuzzy recurrence plots long short-term memory(LSTM) neural networks pattern classification short time series

来源：评论

学校读者我要写书评

暂无评论

Enabling design and interactive selection of haptic modes

引用

Virtual Reality 2007年第1期11卷 1-13页

作者： Lundin, Karljohan Cooper, Matthew Persson, Anders Evestedt, Daniel Ynnerman, Anders Norrköping Visualization and Interaction Studio Linköping University Linköping Sweden Center for Medical Image Science and Visualization Linköping University Linköping Sweden SenseGraphics AB Stockholm Sweden

The ever increasing size and complexity of volumetric data in a wide range of disciplines makes it useful to augment volume visualization tools with alternative modalities. Studies have shown that introducing haptics can significantly increase both exploration speed and precision. It is also capable of conveying material properties of data and thus has great potential to improve user performance in volume data exploration. In this paper we describe how recent advances in volume haptics can be used to build haptic modes - building blocks for haptic schemes. These modes have been used as base components of a toolkit allowing for more efficient development of haptic prototypes and applications. This toolkit allows interactive construction, configuration and fine-tuning of both visual and haptic representations of the data. The technology is also used in a pilot study to determine the most important issues and aspects in haptic volume data interaction and exploration, and how the use of haptic modes can facilitate the implementation of effective haptic schemes. © Springer-Verlag London Limited 2006.

关键词： Haptic interfaces

来源：评论

学校读者我要写书评

暂无评论

Multipla: Multiscale Pangenomic Locus Analysis

引用

Computer Graphics Forum 2025年

作者： van den Brandt, A. Ståhlbom, E. van Workum, F.J.M. van de Wetering, H. Lundström, C. Smit, S. Vilanova, A. Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands Bioinformatics Group Wageningen University & Research Netherlands Department of Science and Technology Linköping University Sweden Sectra AB Sweden Center for Medical Image Science and Visualization Linköping University Sweden

Comparing gene organization across genomic sequences reveals insights into evolutionary and functional diversity among different organisms and varieties. Performing this task across many sequences, such as from a pangenome, is challenging because of the scale, the density of information, and the inherent variation. Often, analyses are centered on a genomic region of interest—a locus that might be associated with a trait or contain genes within the same family or biological pathway. Within these regions, researchers examine the conservation of gene order and orientation across organisms and assess sequence similarity, along with other gene content features such as gene size, to find biological variations or potential errors in the data. Automated methods in comparative genomics struggle to identify meaningful patterns due to varying and often unknown features of interest, leaving manual, time-intensive, and scalability-challenged visualization as the primary alternative. To address these challenges, we present a multiscale design for studying gene organization within pangenomes, developed in close collaboration with domain experts. Our tool, Multipla, enables users to explore organization at multiple levels of detail in a decluttered manner through layout abstractions, semantic zooming, and layouts with flexible distance definitions and feature selections, combining the advantages of manual and automated methods used in practice. We evaluate the design of Multipla through two pangenomic use cases and conclude with lessons learned from designing multiscale views for pangenomic locus analysis. © 2025 The Author(s). Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd.

关键词： Visual analytics

来源：评论

学校读者我要写书评

暂无评论

Enabling Haptic Interaction with Volumetric MRI Data through Knowledge-based Tissue Separation 5

Enabling Haptic Interaction with Volumetric MRI Data through...

引用

5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, VG@SIGGRAPH 2006

作者： Lundin, Karljohan Lundström, Claes Cooper, Matthew Ynnerman, Anders Norrköping Visualization and Interaction Studio Linköping University Sweden Center for Medical Image Science and Visualization Linköping University Sweden

ISBN: (纸本)390567341X

Direct volume haptics can provide both guidance and extra information during exploration of volumetric data. In this paper we present a novel approach to volume haptics enabling haptic exploration of tissue shape, borders and material properties in data despite low contrast and low signal to noise ratio, as is common in medical MRI data or low dose CT data. The method uses filtering based on implicit knowledge and addresses the problem of overlapping scalar ranges through the introduction of fuzzy classification and corresponding transfer functions for material properties as well as classification-based distance masking for haptic force direction. © The Eurographics Association 2006.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies

引用

Computers in Biology and Medicine 2025年 193卷 110395-110395页

作者： Midden, Dominique van Studer, Linda Hermsen, Meyke Steenbergen, Eric J. Kers, Jesper Kozakowski, Nicolas Kikić, Željko Hilbrands, Luuk B. van der Laak, Jeroen A.W.M. Department of Pathology Radboud University Medical Center Nijmegen the Netherlands Department of Pathology Amsterdam University Medical Center University of Amsterdam Amsterdam the Netherlands Department of Pathology Leiden University Medical Center Leiden the Netherlands Department of Pathology Medical University of Vienna Vienna Austria Department of Urology Medical University of Vienna Vienna Austria Department of Nephrology Radboud University Medical Center Nijmegen the Netherlands Center for Medical Image Science and Visualization Linköping University Linköping Sweden

AbstractBackgroundAssessing the extent of inflammation in peritubular capillaries (PTCs) is important for diagnosing antibody-mediated rejection in kidney transplant biopsies. However, this assessment is time-consuming and suffers from interobserver variability, making it a promising candidate for automation. This study introduces a deep learning-based approach for PTCs detection and segmentation in PAS-stained kidney transplant biopsies, providing a first step towards automated scoring of peritubular capillaritis (ptc). MethodsPAS-stained whole slide images of kidney transplant biopsies (n = 69) were manually annotated, guided by CD34 immunohistochemical re-staining, resulting in approximately 28.000 PTCs for training and evaluation. ResultsWe trained a U-Net model using a patch-sampling approach in a two-class setting (PTCs versus other tissue), achieving a PTCs segmentation performance of 71.3 %, 56.1 % and 73.0 % for the Dice score, Jaccard index and normalized surface Dice, respectively. For the individual PTCs detection, we achieved a precision of 67.7 %, and a recall of 71.8 %. ConclusionsDespite satisfactory performance of the DL-model developed in this study, we observed that prominent interstitial inflammation and fibrosis, where PTCs become less recognizable, and the presence of structures mimicking PTCs (e.g. atrophic tubules), posed the largest challenges for the model. Our model is novel as it was trained on a set of transplant biopsies with morphological abnormalities, requiring only PAS-stained kidney biopsies and confirmation of ground truth with the use of CD34 immunohistochemistry. Next steps include incorporation of inflammatory cell segmentation, which may enhance accuracy, reproducibility and quantitative scoring of peritubular capillaritis to guide pathologists in routine diagnostics.

关键词： Deep learning Computational pathology Convolutional neural network Kidney transplant pathology Segmentation Peritubular capillaries Peritubular capillaritis

来源：评论

学校读者我要写书评

暂无评论

3D-Quantification using an interleaved Look-Locker acquisition sequence with T2-prep pulse (3D-QALAS)

引用

Journal of Cardiovascular Magnetic Resonance 2014年第SUPPL 1期16卷 O82-O82页

作者： Kvernby, Sofia Warntjes, Marcel Carlhäll, Carl-Johan Engvall, Jan Ebbers, Tino Linköping University Linköping Sweden Center for Medical Image Science and Visualization (CMIV) Linköping Sweden

来源：评论

学校读者我要写书评

暂无评论

Verification staircase: A design strategy for actionable explanations

Verification staircase: A design strategy for actionable exp...

引用

2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020

作者： Lindvall, Martin Molin, Jesper Center for Medical Image Science and Visualization Linköping University Sweden Sectra AB Linköping Sweden

What if the trust in the output of a predictive model could be acted upon in richer ways than a simple binary decision of accept or reject? Designing assistive AI tools for medical specialists entails supporting a complex but safety-critical decision process. It is common that decisions in this domain can be decomposed to a combination of many smaller decisions. In this paper, we present Verification Staircase - a design strategy that can be used for such scenarios. The verification staircase is when multiple interactive assistive tools are combined to allow for a nuanced amount of automation to aid the user. This can support a wide range of prediction quality scenarios, spanning from unproblematic minor mistakes to misleading major failures. By presenting the information in a hierarchical way, the user is able to learn how underlying predictions are connected to overall case predictions, and over time, calibrate their trust so that they can choose the appropriate level of automatic support. © 2020 Copyright held by the owner/author(s).

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：