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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, Part II

English · Paperback / Softback

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This two volume-set LNCS 13769 and LNCS 14092 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 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. 

Product details

Assisted by Spyridon Bakas (Editor), Alessandro Crimi (Editor), Ujjwal Baid et al (Editor), Ujjwal Baid (Editor), Sylwia Malec (Editor), Monika Pytlarz (Editor), Bhakti Baheti (Editor), Maximilian Zenk (Editor), Reuben Dorent (Editor)
Publisher Springer, Berlin
 
Content Book
Product form Paperback / Softback
Publication date 05.02.2024
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software
 
EAN 9783031441523
ISBN 978-3-0-3144152-3
Pages 243
Illustrations XIX, 243 p. 75 illus., 59 illus. in color.
Dimensions (packing) 15.5 x 1.4 x 23.5 cm
 
Series Lecture Notes in Computer Science > 14092
Subjects Lehrmittel, Lerntechnologien, E-Learning, Brain, Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften, Computeranwendungen in Industrie und Technologie, CAD, glioblastoma, glioma, Segmentation, DeepLearning, machinelearning, MultipleSclerosis, traumaticbraininjury, brainlesion
 

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