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Record Nr. |
UNISA996542666303316 |
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Titolo |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers / / edited by Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (294 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13769 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Brainlesion -- Brain Tumor Segmentation (BraTS) Challenge -- Brain Tumor Sequence Registration (BraTS-Reg) Challenge -- Cross-Modality Domain Adaptation (CrossMoDA) Challenge -- Federated Tumor Segmentation (FeTS) Challenge. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 8th International MICCAI Brainlesion Workshop, BrainLes 2022, as well as the Brain Tumor Segmentation (BraTS) Challenge, the Brain Tumor Sequence |
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Registration (BraTS-Reg) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the Federated Tumor Segmentation (FeTS) Challenge. These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2022, in September 2022. The 46 revised full papers presented in these volumes were selected form 65 submissions. The presented contributions describe the research of computational scientists and clinical researchers working on brain lesions - specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin. . |
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