{"product_id":"9783031164484","title":"Lecture Notes in Computer Science: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII","description":"\u003ch1\u003eLecture Notes in Computer Science: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII\u003c\/h1\u003e \u003ch2\u003eWang, Linwei; Dou, Qi; Fletcher, P. Thomas; Speidel, Stefanie; Li, Shuo\u003c\/h2\u003e \u003cp\u003eThe 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.\u003c\/p\u003e\u003cdiv\u003e\n\u003cbr\u003eThe 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:\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003ePart I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology;\u003c\/p\u003e\n\u003cp\u003ePart II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging;\u003c\/p\u003e\n\u003cp\u003ePart III: Breast imaging; colonoscopy; computer aided diagnosis;\u003c\/p\u003e\n\u003cp\u003ePart IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I;\u003c\/p\u003e\n\u003cp\u003ePart V: Image segmentation II; integration of imaging with non-imaging biomarkers;\u003c\/p\u003e\n\u003cp\u003ePart VI: Image registration; image reconstruction;\u003c\/p\u003e\n\u003cp\u003ePart VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization;\u003c\/p\u003e\n\u003cp\u003ePart VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-09-17\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031164484\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-16449-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 779\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44521470722188,"sku":"9783031164484","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031164484.jpg?v=1774021942","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783031164484","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}