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Details

Autor(en) / Beteiligte
Titel
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII (brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography)
Ist Teil von
  • Lecture Notes in Computer Science, 2020, Vol.Part VII - brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography (12267)
Ort / Verlag
Springer
Erscheinungsjahr
2020
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • 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 methodologiesPart II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networksPart III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysisPart IV: segmentation; shape models and landmark detectionPart V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmologyPart VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imagingPart VII: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography
Sprache
Englisch
Identifikatoren
ISBN: 3030597288, 9783030597283
ISSN: 0302-9743
eISSN: 1611-3349
Titel-ID: cdi_hal_primary_oai_HAL_hal_03144845v1

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