Buch, Englisch, 298 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4686 g
Reihe: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
1. Auflage 2016
ISBN: 978-3-319-30857-9
Verlag: Springer International Publishing
First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
Buch, Englisch, 298 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4686 g
Reihe: Image Processing, Computer Vision, Pattern Recognition, and Graphics
ISBN: 978-3-319-30857-9
Verlag: Springer International Publishing
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Brain Lesion (BrainLes), Brain Tumor Segmentation (BRATS) and Ischemic Stroke Lesion Segmentation (ISLES), held in Munich, Germany, on October 5, 2015, in conjunction with the International Conference on Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.
The 25 papers presented in this volume were carefully reviewed and selected from 28 submissions. They are grouped around the following topics: brain lesion image analysis; brain tumor image segmentation; ischemic stroke lesion image segmentation.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Chirurgie Neurochirurgie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
Weitere Infos & Material
Brain lesion image analysis.- Brain tumor image segmentation.- Ischemic stroke lesion image segmentation.