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.
"synopsis" may belong to another edition of this title.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 856 pp. Englisch. Seller Inventory # 9783031439865
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 w. Seller Inventory # 1038610189
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Taschenbuch. Condition: Neu. Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 | 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI | Hayit Greenspan (u. a.) | Taschenbuch | xxxix | Englisch | 2023 | Springer | EAN 9783031439865 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 127412438
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Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 856 pp. Englisch. Seller Inventory # 9783031439865
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Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783031439865
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