Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
Springer International Publishing (Verlag)
978-3-031-16442-2 (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.
Image segmentation II.- integration of imaging with non-imaging biomarkers.
| Erscheinungsdatum | 17.09.2022 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XL, 738 p. 253 illus., 224 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1175 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Applications • Artificial Intelligence • Bioinformatics • Computer Science • computer vision • conference proceedings • Decision Support Systems • Image Analysis • image manipulation • Image Processing • Image Segmentation • Informatics • learning • machine learning • Medical Images • Medical image segmentation • Neural networks • Object recognition • object segmentation • pattern recognition • Research • segmentation methods • Signal Processing |
| ISBN-10 | 3-031-16442-3 / 3031164423 |
| ISBN-13 | 978-3-031-16442-2 / 9783031164422 |
| Zustand | Neuware |
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