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

Hayit Greenspan

ISBN 10: 3031439953 / ISBN 13: 9783031439957

Editore: Springer Nature Switzerland, 2023

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783031439957

Dati bibliografici

• Titolo: Medical Image Computing and Computer Assisted Intervention ¿ MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8¿12, 2023, Proceedings, Part IX
• Editore: Springer Nature Switzerland
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031439953
• ISBN 13: 9783031439957
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 42 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 42 millimetri di profondità
• Peso: 1165 grammi

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

"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.