LEADER 03514nam 22005295 450 001 9910595054503321 005 20251113192251.0 010 $a9783031164521 010 $a3031164520 024 7 $a10.1007/978-3-031-16452-1 035 $a(MiAaPQ)EBC7088006 035 $a(Au-PeEL)EBL7088006 035 $a(CKB)24837145000041 035 $a(PPN)264953037 035 $a(OCoLC)1345279753 035 $a(DE-He213)978-3-031-16452-1 035 $a(EXLCZ)9924837145000041 100 $a20220915d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Image Computing and Computer Assisted Intervention ? MICCAI 2022 $e25th International Conference, Singapore, September 18?22, 2022, Proceedings, Part VIII /$fedited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 205 $a1st ed. 2022. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2022. 215 $a1 online resource (772 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13438 311 08$aPrint version: Wang, Linwei Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 Cham : Springer,c2022 9783031164514 320 $aIncludes bibliographical references and index. 327 $aMachine learning ? weakly-supervised learning -- machine learning ? model interpretation -- machine learning ? uncertainty -- machine learning theory and methodologies. . 330 $aThe eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning ? domain adaptation and generalization; Part VIII: Machine learning ? weakly-supervised learning; machine learning ? model interpretation; machine learning ? uncertainty; machine learning theory and methodologies. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13438 606 $aImage processing 606 $aImage Processing 615 0$aImage processing. 615 14$aImage Processing. 676 $a616.0754 676 $a616.07540285 702 $aWang$b Linwei 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910595054503321 996 $aMedical image computing and computer assisted intervention - MICCAI 2022$93008832 997 $aUNINA