9783031439957 - Medical Image Computing and Computer Assisted Intervention ? Miccai 2023: 26th International Conference, Vancouver, Bc, Canada, October 8?12, 2023, Lecture Notes in... (12 results)

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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 IX | Hayit Greenspan (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxxviii | Englisch | 2023 | Springer | EAN 9783031439957 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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.

Condition: Gut. Zustand: Gut | Seiten: 784 | Sprache: Englisch | Produktart: Bücher | 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 ż transfer learning;Part II: Machine learning ż learning strategies; machine learning ż explainability, bias, and uncertainty;Part III: Machine learning ż 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 ż abdomen; clinicalapplications ż breast; clinical applications ż cardiac; clinical applications ż dermatology; clinical applications ż fetal imaging; clinical applications ż lung; clinical applications ż musculoskeletal; clinical applications ż oncology; clinical applications ż ophthalmology; clinical applications ż vascular; Part VIII: Clinical applications ż 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.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 784 | Sprache: Englisch | Produktart: Bücher | 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 ż transfer learning;Part II: Machine learning ż learning strategies; machine learning ż explainability, bias, and uncertainty;Part III: Machine learning ż 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 ż abdomen; clinicalapplications ż breast; clinical applications ż cardiac; clinical applications ż dermatology; clinical applications ż fetal imaging; clinical applications ż lung; clinical applications ż musculoskeletal; clinical applications ż oncology; clinical applications ż ophthalmology; clinical applications ż vascular; Part VIII: Clinical applications ż 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.

Condition: new. Questo è un articolo print on demand.

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.

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.

Condition: New. Print on Demand pp. 784.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 784 pp. Englisch.

Condition: New. PRINT ON DEMAND pp. 784.