Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
Springer International Publishing (Verlag)
978-3-031-16436-1 (ISBN)
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.
Breast imaging.- colonoscopy.- computer aided diagnosis.
Erscheinungsdatum | 17.09.2022 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XLI, 795 p. 236 illus., 226 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1264 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Animation • Applications • Artificial Intelligence • Bioinformatics • Computer Science • Computer systems • computer vision • conference proceedings • cross-computing tools and techniques • Decision Support Systems • Deep learning • Image Analysis • image manipulation • Image Processing • image reconstruction • Image Segmentation • Informatics • learning • machine learning • Medical Images • Neural networks • pattern recognition • Research • Shape modeling • Signal Processing |
ISBN-10 | 3-031-16436-9 / 3031164369 |
ISBN-13 | 978-3-031-16436-1 / 9783031164361 |
Zustand | Neuware |
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