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 I

Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent (Herausgeber)

Buch | Softcover

XIX, 285 Seiten

2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-33841-0 (ISBN)

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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 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.

Brainlesion.- Brain Tumor Segmentation (BraTS) Challenge.- Brain Tumor Sequence Registration (BraTS-Reg) Challenge.- Cross-Modality Domain Adaptation (CrossMoDA) Challenge.- Federated Tumor Segmentation (FeTS) Challenge.

Erscheinungsdatum	19.07.2023
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XIX, 285 p. 101 illus., 86 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	462 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Schlagworte	Bioinformatics • brain • Brain Lesion • CAD • Deep learning • glioblastoma • Glioma • learning • machine learning • Medical Images • Multiple Sclerosis • Neural networks • Segmentation • traumatic brain injury
ISBN-10	3-031-33841-3 / 3031338413
ISBN-13	978-3-031-33841-0 / 9783031338410
Zustand	Neuware