<p>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.</p> <p>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:</p> <p>Part I: Machine learning with limited supervision and machine learning – transfer learning;</p> <p>Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty;</p> <p>Part III: Machine learning – explainability, bias and uncertainty; image segmentation;</p> <p>Part IV: Image segmentation;</p> <p>Part V: Computer-aided diagnosis;</p> <p>Part VI: Computer-aided diagnosis; computational pathology;</p> <p>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;</p> <p> </p> <p>Part VIII: Clinical applications – neuroimaging; microscopy;</p> <p>Part IX: Image-guided intervention, surgical planning, and data science;</p> <p> </p> <p>Part X: Image reconstruction and image registration.<br> <br> "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.</p>