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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part V / edited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
(Lecture Notes in Computer Science. ISSN:16113349 ; 13435)

データ種別 電子ブック
1st ed. 2022.
出版者 (Cham : Springer Nature Switzerland : Imprint: Springer)
出版年 2022
大きさ XL, 738 p. 253 illus., 224 illus. in color : online resource
著者標目 Wang, Linwei editor
Dou, Qi editor
Fletcher, P. Thomas editor
Speidel, Stefanie editor
Li, Shuo editor
SpringerLink (Online service)

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射水-電子 007 EB0001273 Computer Scinece R0 2005-6,2022-3

9783031164439

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一般注記 The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.
HTTP:URL=https://doi.org/10.1007/978-3-031-16443-9
件 名 LCSH:Image processing
LCSH:Machine learning
LCSH:Application software
LCSH:Image processing -- Digital techniques  全ての件名で検索
LCSH:Computer vision
LCSH:Information technology -- Management  全ての件名で検索
FREE:Image Processing
FREE:Machine Learning
FREE:Computer and Information Systems Applications
FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
FREE:Computer Application in Administrative Data Processing
分 類 LCC:TA1637-1638
DC23:621.382
書誌ID EB00000661
ISBN 9783031164439

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