000 03905nam a22005655i 4500
001 978-3-031-16452-1
003 DE-He213
005 20240423125455.0
007 cr nn 008mamaa
008 220915s2022 sz | s |||| 0|eng d
020 _a9783031164521
_9978-3-031-16452-1
024 7 _a10.1007/978-3-031-16452-1
_2doi
050 4 _aTA1637-1638
072 7 _aTJF
_2bicssc
072 7 _aUYT
_2bicssc
072 7 _aCOM012050
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYT
_2thema
082 0 4 _a621.382
_223
245 1 0 _aMedical Image Computing and Computer Assisted Intervention – MICCAI 2022
_h[electronic resource] :
_b25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VIII /
_cedited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2022.
300 _aXLI, 740 p. 336 illus., 210 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13438
505 0 _aMachine learning – weakly-supervised learning -- machine learning – model interpretation -- machine learning – uncertainty -- machine learning theory and methodologies. .
520 _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. .
650 0 _aImage processing.
650 1 4 _aImage Processing.
700 1 _aWang, Linwei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDou, Qi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFletcher, P. Thomas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSpeidel, Stefanie.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLi, Shuo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031164514
776 0 8 _iPrinted edition:
_z9783031164538
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13438
856 4 0 _uhttps://doi.org/10.1007/978-3-031-16452-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c178319
_d178319