Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX

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ISBN 10: 3031439953 / ISBN 13: 9783031439957

Published by Springer, 2023

About this Item

Zustand: Hervorragend | Seiten: 784 | Sprache: Englisch | Produktart: Bücher | The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023.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; clinicalapplications ¿ 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."Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.

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Bibliographic Details

• Title: Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX
• Publisher: Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 3031439953
• ISBN 13: 9783031439957
• Binding: Soft cover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

About this title

Synopsis

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023.

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; clinicalapplications – 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.

"Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.

From the Back Cover

"Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.