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
1. Auflage 2023
ISBN: 978-3-031-33841-0
Verlag: Springer Nature Switzerland

Buch, Englisch, 285 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 470 g

Reihe: Lecture Notes in Computer Science

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. 

Zielgruppe

Research

Autoren/Hrsg.

Bakas, Spyridon

Crimi, Alessandro

Baid, Ujjwal

Dorent, Reuben

Malec, Sylwia

Pytlarz, Monika

Baheti, Bhakti

Zenk, Maximilian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

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