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 |
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版 | 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) |
書誌詳細を非表示
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 |
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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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