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检索条件"主题词=Computer-aided Detection"
853 条 记 录,以下是1-10 订阅
排序:
computer-aided detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)
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JOURNAL OF MAGNETIC RESONANCE IMAGING 2025年 第0期 2025 Jan 9页
作者: Jannatdoust, Payam Valizadeh, Parya Saeedi, Nikoo Valizadeh, Gelareh Salari, Hanieh Mobarak Rad, Hamidreza Saligheh Gity, Masoumeh Univ Tehran Med Sci Sch Med Tehran Iran Islamic Azad Univ Student Res Comm Mashhad Branch Mashhad Iran Univ Tehran Med Sci Quantitat MR Imaging & Spect Grp QMISG Tehran Iran Univ Tehran Med Sci Dept Med Phys & Biomed Engn Tehran Iran Univ Tehran Med Sci Adv Diagnost & Intervent Radiol Res Ctr Tehran Iran
Breast cancer continues to be a major health concern, and early detection is vital for enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its substantial sensitivity for invasive breast ca... 详细信息
来源: 评论
computer-aided detection systems based on ballistocardiography signals: A review
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 151卷
作者: Cimr, Dalibor Busovsky, Damian Fujita, Hamido Studnicka, Filip Cimler, Richard Univ Hradec Kralove Fac Sci Rokitanskeho 62 Hradec Kralove 50003 Czech Republic Univ Teknol Malaysia Malaysia Japan Int Inst Technol MJIIT Kuala Lumpur Malaysia Princess Nourah Bint Abdulrahman Univ PNU Coll Sci Riyadh 13412 Saudi Arabia Iwate Prefectural Univ Reg Res Ctr Takizawa Iwate 0200693 Japan
This comprehensive review paper seeks to provide an in-depth survey of the technologies and methodologies employed in decision support systems for ballistocardiography. The paper extensively covers the biometric infor... 详细信息
来源: 评论
AGA Living Clinical Practice Guideline on computer-aided detection-Assisted Colonoscopy
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GASTROENTEROLOGY 2025年 第4期168卷 691-700页
作者: Sultan, Shahnaz Shung, Dennis L. Kolb, Jennifer M. Foroutan, Farid Hassan, Cesare Kahi, Charles J. Liang, Peter S. Levin, Theodore R. Siddique, Shazia Mehmood Lebwohl, Benjamin Univ Minnesota Div Gastroenterol Hepatol & Nutr Minneapolis MN USA Minneapolis Vet Affairs Healthcare Syst Minneapolis MN USA Yale Sch Med Dept Med Sect Digest Dis New Haven CT USA Univ Calif Los Angeles David Geffen Sch Med Vatche & Tamar Manoukian Div Digest Dis Los Angeles CA USA Vet Affairs Greater Angeles Healthcare Syst Div Gastroenterol Hepatol & Parenteral Nutr Los Angeles CA USA MAGIC Evidence Ecosyst Fdn Oslo Norway Univ Hlth Network Ted Rogers Ctr Heart Res Toronto ON Canada IRCCS Humanitas Res Hosp Milan Italy Humanitas Univ Dept Biomed Sci Milan Italy Indiana Univ Dept Gastroenterol Med Ctr Indianapolis IN USA NYU Langone Hlth Dept Med Div Gastroenterol & Hepatol New York NY USA Vet Affairs New York Harbor Hlth Care Syst Dept Med New York NY USA Kaiser Permanente Northern Calif Div Res Pleasanton CA USA Kaiser Permanente Walnut Creek Dept Gastroenterol Walnut Creek CA USA Univ Penn Div Gastroenterol Philadelphia PA USA Univ Penn Leonard Davis Inst Hlth Econ Philadelphia PA USA Univ Penn Ctr Healthcare Improvement & Patient Safety Philadelphia PA USA Columbia Univ Irving Med Ctr Dept Med New York NY USA Columbia Univ Mailman Sch Publ Hlth Dept Epidemiol New York NY USA
BACKGROUND & AIMS: This American Gastroenterological Association (AGA) guideline is intended to provide an overview of the evidence and support endoscopists and patients on the use of computer-aided detection (CAD... 详细信息
来源: 评论
Performance of computer-aided detection Software in Tuberculosis Case Finding in Township Health Centers in China
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Chronic Diseases and Translational Medicine 2025年 第0期
作者: Cao, Xuefang Feng, Boxuan Zhang, Bin Wang, Dakuan Du, Jiang He, Yijun Guo, Tonglei Pan, Shouguo Liu, Zisen Yan, Jiaoxia Jin, Qi Gao, Lei Xin, Henan NHC Key Laboratory of Systems Biology of Pathogens National Institute of Pathogen Biology and Center for Tuberculosis Research Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education) National Institute of Pathogen Biology Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China Center for Disease Control and Prevention of Zhongmu County Henan Zhengzhou China
Background: computer-aided detection (CAD) software has been introduced to automatically interpret digital chest X-rays. This study aimed to evaluate the performance of CAD software (JF CXR-1 v3.0, which was developed... 详细信息
来源: 评论
Creating a standardized tool for the evaluation and comparison of artificial intelligence–based computer-aided detection programs in colonoscopy: a modified Delphi approach
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Gastrointestinal Endoscopy 2025年
作者: Gadi, Sanjay R.V. Mori, Yuichi Misawa, Masashi East, James E. Hassan, Cesare Repici, Alessandro Byrne, Michael F. von Renteln, Daniel Hewett, David G. Wang, Pu Saito, Yutaka Matsubayashi, Carolina Ogawa Ahmad, Omer F. Sharma, Prateek Gross, Seth A. Sengupta, Neil Mansour, Nabil Cherubini, Andrea Dinh, Nhan Ngo Xiao, Xiao Mountney, Peter González-Bueno Puyal, Juana Little, Greg LaRocco, Shawn Conjeti, Sailesh Seibt, Hannes Zur, Dror Shimada, Hitoshi Berzin, Tyler M. Glissen Brown, Jeremy R. Department of Medicine Duke University School of Medicine Durham NC United States Digestive Disease Center Showa University Northern Yokohama Hospital Yokohama Japan Clinical Effectiveness Research Group Institute of Health and Society University of Oslo Oslo Norway Department of Transplantation Medicine Oslo University Hospital Oslo Norway Translational Gastroenterology Unit John Radcliffe Hospital Oxford United Kingdom Oxford NIHR Biomedical Research Centre University of Oxford Oxford United Kingdom Department of Biomedical Sciences Humanitas University Pieve Emanuele Milan Italy IRCCS Humanitas Research Hospital Rozzano Milan Italy Division of Gastroenterology Vancouver General Hospital University of British Columbia Vancouver BC Canada Satisfai Health Vancouver BC Canada Division of Gastroenterology Montréal University Hospital and Research Center Montréal Québec Canada School of Medicine The University of Queensland Brisbane QLD Australia Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital Chengdu China Endoscopy Division National Cancer Center Hospital Tokyo Japan Gastrointestinal Endoscopy Unit Gastroenterology Department University of São Paulo Medical School São Paulo Brazil AI Medical Services Inc. Tokyo Japan Wellcome/EPSRC Centre for Interventional & Surgical Sciences University College London London United Kingdom Division of Gastroenterology and Hepatology University of Kansas School of Medicine and VA Medical Center Kansas City KS United States Division of Gastroenterology and Hepatology New York University Langone Health System New York NY United States Section of Gastroenterology University of Chicago Medicine Chicago IL United States Section of Gastroenterology and Hepatology Baylor College of Medicine Houston TX United States Cosmo Intelligent Medical Devices Dublin Ireland Wision AI Palo Alto CA United States Odin Vision London United Kingdom Olympus Corporation Tokyo Japan Pentax Medical
Background and Aims: Multiple computer-aided detection (CADe) software programs have now achieved regulatory approval in the United States, Europe, and Asia and are being used in routine clinical practice to support c... 详细信息
来源: 评论
computer-aided detection improves brain metastasis identification on non-enhanced CT in less experienced radiologists
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ACTA RADIOLOGICA 2023年 第5期64卷 1958-1965页
作者: Kato, Shimpei Amemiya, Shiori Takao, Hidemasa Yamashita, Hiroshi Sakamoto, Naoya Miki, Soichiro Watanabe, Yusuke Suzuki, Fumio Fujimoto, Kotaro Mizuki, Masumi Abe, Osamu Univ Tokyo Grad Sch Med Dept Radiol 7-3-1 Hongo Bunkyo Ku Tokyo 138655 Japan Teikyo Univ Hosp Dept Radiol Kawasaki Kanagawa Japan
Background Brain metastases (BMs) are the most common intracranial tumors causing neurological complications associated with significant morbidity and mortality. Purpose To evaluate the effect of computer-aided detect... 详细信息
来源: 评论
computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: A review
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computerS IN BIOLOGY AND MEDICINE 2015年 60卷 8-31页
作者: Lemaitre, Guillaume Marti, Robert Freixenet, Jordi Vilanova, Joan C. Walker, Paul M. Meriaudeau, Fabrice Univ Bourgogne LE2I UMR CNRS 6306 F-71200 Le Creusot France Univ Bourgogne LE2I UMR CNRS 6306 F-21000 Dijon France Univ Girona ViCOROB Girona 17071 Spain Clin Girona Dept Magnet Resonance Girona 17002 Spain
Prostate cancer is the second most diagnosed cancer of men all over the world. In the last few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have been developed to improve diagnosis. In pra... 详细信息
来源: 评论
computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography
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MEDICAL PHYSICS 2007年 第12期34卷 4798-4809页
作者: Arzhaevaa, Yulia Prokop, Mathias Tax, David M. J. De Jong, Pim A. Schaefer-Prokop, Cornelia M. van Ginneken, Bram Univ Med Ctr Utrecht Images Sci Inst Utrecht Netherlands Univ Med Ctr Utrecht Dept Radiol Utrecht Netherlands Delft Univ Technol Fac Elect Engn Math & Comp Sci Delft Netherlands Meander Med Ctr Dept Radiol Amersfoort Netherlands Univ Amsterdam Acad Med Ctr Dept Radiol NL-1105 AZ Amsterdam Netherlands
A computer-aided detection (CAD) system is presented for the localization of interstitial lesions in chest radiographs. The system analyzes the complete lung fields using a two-class supervised pattern classification ... 详细信息
来源: 评论
computer-aided detection of pulmonary nodules in computed tomography: Analysis and review of the literature
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JOURNAL OF computer ASSISTED TOMOGRAPHY 2007年 第4期31卷 611-619页
作者: Saba, Luca Caddeo, Giancarlo Mallarini, Giorgio Policlin Univ Dept Sci Imagess I-09045 Cagliari Italy Univ Cagliari Inst Radiol Cagliari Italy
Purpose: To evaluate diagnostic sensitivity of the pulmonary nodules computer-aided detection (CAD) in computed tomography. To analyze parameters that modify CAD performance. We made a critical analysis of the literat... 详细信息
来源: 评论
computer-aided detection of breast masses: Four-view strategy for screening mammography
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MEDICAL PHYSICS 2011年 第4期38卷 1867-1876页
作者: Wei, Jun Chan, Heang-Ping Zhou, Chuan Wu, Yi-Ta Sahiner, Berkman Hadjiiski, Lubomir M. Roubidoux, Marilyn A. Helvie, Mark A. Univ Michigan Dept Radiol Ann Arbor MI 48109 USA
Purpose: To improve the performance of a computer-aided detection (CAD) system for mass detection by using four-view information in screening mammography. Methods: The authors developed a four-view CAD system that emu... 详细信息
来源: 评论