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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 [[electronic resource] ] : 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII / / edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor



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Autore: Greenspan Hayit Visualizza persona
Titolo: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 [[electronic resource] ] : 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII / / edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (726 pages)
Disciplina: 006
Soggetto topico: Image processing - Digital techniques
Computer vision
Application software
Machine learning
Education - Data processing
Social sciences - Data processing
Biomedical engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer and Information Systems Applications
Machine Learning
Computers and Education
Computer Application in Social and Behavioral Sciences
Biomedical Engineering and Bioengineering
Altri autori: MadabhushiAnant  
MousaviParvin  
SalcudeanSeptimiu  
DuncanJames  
Syeda-MahmoodTanveer  
TaylorRussell  
Sommario/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; 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.
Titolo autorizzato: Medical Image Computing and Computer Assisted Intervention - MICCAI 2023  Visualizza cluster
ISBN: 3-031-43993-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910746956803321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14227