Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 / Lecture Notes in Computer Science Bd.13438 (PDF)
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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.
- 2022, 1st ed. 2022, 740 Seiten, Englisch
- Herausgegeben: Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
- Verlag: Springer International Publishing
- ISBN-10: 3031164520
- ISBN-13: 9783031164521
- Erscheinungsdatum: 15.09.2022
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- Dateiformat: PDF
- Grösse: 107 MB
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