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Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation : MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings / / edited by Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi



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Autore: Baid Ujjwal Visualizza persona
Titolo: Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation : MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings / / edited by Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (407 pages)
Disciplina: 006.37
Soggetto topico: Computer vision
Medical informatics
Social sciences - Data processing
Application software
Education - Data processing
Artificial intelligence
Computer Vision
Health Informatics
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
Computers and Education
Artificial Intelligence
Altri autori: DorentReuben  
MalecSylwia  
PytlarzMonika  
SuRuisheng  
WijethilakeNavodini  
BakasSpyridon  
CrimiAlessandro  
Sommario/riassunto: This book constitutes the refereed proceedings of the Brain Tumor Segmentation Challenge, BraTS 2023, as well as the Cross-Modality Domain Adaptation Challenge, CrossMoDA 2023. These events were held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2023, during October 8-12, 2023. The 37 full papers presented in this volume were selected form 23 submissions. They describe the research of computational scientists and clinical researchers working on brain lesions, and specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.
Titolo autorizzato: Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation  Visualizza cluster
ISBN: 9783031761638
3031761634
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996636771003316
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14669