Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 / Lecture Notes in Computer Science Bd.14223 (PDF)
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The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections:
Part I: Machine learning with limited supervision and machine learning - transfer learning;
Part II: Machine learning - learning strategies; machine learning - explainability, bias, and uncertainty;
Part III: Machine learning - explainability, bias and uncertainty; image segmentation;
Part IV: Image segmentation;
Part V: Computer-aided diagnosis;
Part VI: Computer-aided diagnosis; computational pathology;
Part VII: Clinical applications - abdomen; clinical applications - breast; clinical applications - cardiac; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - musculoskeletal; clinical applications - oncology; clinical applications - ophthalmology; clinical applications - vascular;
Part VIII: Clinical applications - neuroimaging; microscopy;
Part IX: Image-guided intervention, surgical planning, and data science;
Part X: Image reconstruction and image registration.
- 2023, 1st ed. 2023, 801 Seiten, Englisch
- Herausgegeben: Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor
- Verlag: Springer International Publishing
- ISBN-10: 3031439015
- ISBN-13: 9783031439018
- Erscheinungsdatum: 30.09.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 127 MB
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