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.
"synopsis" may belong to another edition of this title.
"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.
"About this title" 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; clinical applications - 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. 784 pp. Englisch. Seller Inventory # 9783031439957
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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.'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. Seller Inventory # 9783031439957
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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.'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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 784 pp. Englisch. Seller Inventory # 9783031439957
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