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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 -

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII
Buch | Softcover
XLI, 779 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-16448-4 (ISBN)
CHF 74,85 inkl. MwSt
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022.
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-Guided interventions and surgery.- outcome and disease prediction.- surgical data science; surgical planning and simulation.- machine learning - domain adaptation and generalization.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XLI, 779 p. 238 illus., 228 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1240 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Technik Elektrotechnik / Energietechnik
Schlagworte Applications • Artificial Intelligence • Bioinformatics • Computer Science • Computer systems • computer vision • conference proceedings • Deep learning • Image Analysis • Image Processing • Image Quality • image reconstruction • Image Segmentation • Informatics • learning • machine learning • Medical Images • Neural networks • Object recognition • pattern recognition • Research • Signal Processing
ISBN-10 3-031-16448-2 / 3031164482
ISBN-13 978-3-031-16448-4 / 9783031164484
Zustand Neuware
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