Medical Image Computing and Computer Assisted Intervention - MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII
Herausgegeben: Greenspan, Hayit; Madabhushi, Anant; Mousavi, Parvin; Salcudean, Septimiu; Duncan, James; Syeda-Mahmood, Tanveer; Taylor, Russell
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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 stra...
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.
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.
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