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.

Inhalt
Image-guided intervention, surgical planning, and data science.