Medical Image Computing and Computer Assisted Intervention - MICCAI 2020

23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V
Artikelnummer: 978-3-030-59721-4
Einband: Kartonierter Einband (Kt)
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The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

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VerlagSpringer
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2020
Seitenangabe852 S.
AusgabekennzeichenEnglisch
MasseH23.5 cm x B15.5 cm x D4.6 cm 1'264 g
ReiheLecture Notes in Computer Science
AutorMartel, Anne L. (Hrsg.) / Abolmaesumi, Purang (Hrsg.) / Stoyanov, Danail (Hrsg.) / Mateus, Diana (Hrsg.) / Zuluaga, Maria A. (Hrsg.) / Zhou, S. Kevin (Hrsg.) / Racoceanu, Daniel (Hrsg.) / Joskowicz, Leo (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Computer Science"

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