Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers /
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / [electronic resource] :
edited by Alessandro Crimi, Bjoern Menze, Oskar Maier, Mauricio Reyes, Stefan Winzeck, Heinz Handels.
- 1st ed. 2016.
- XI, 292 p. 110 illus. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10154 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10154 .
Brain Lesion -- Brain Tumor Segmentation (BRATS) -- I schemic Stroke Lesion Image Segmentation (ISLES), Mild Traumatic Brain Injury Outcome Prediction (mTOP).
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Brain Lesion, as well as the challenges on Brain Tumor Segmentation (BRATS), Ischemic Stroke Lesion Image Segmentation (ISLES), and the Mild Traumatic Brain Injury Outcome Prediction (mTOP), held in Athens, October 17, 2016, in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 26 papers presented in this volume were carefully reviewed. They present the latest advances in segmentation, disease prognosis and other applications to the clinical context. .
9783319555249
10.1007/978-3-319-55524-9 doi
Computer vision.
Pattern recognition systems.
Artificial intelligence.
Algorithms.
Data mining.
Medical informatics.
Computer Vision.
Automated Pattern Recognition.
Artificial Intelligence.
Algorithms.
Data Mining and Knowledge Discovery.
Health Informatics.
TA1634
006.37
Brain Lesion -- Brain Tumor Segmentation (BRATS) -- I schemic Stroke Lesion Image Segmentation (ISLES), Mild Traumatic Brain Injury Outcome Prediction (mTOP).
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Brain Lesion, as well as the challenges on Brain Tumor Segmentation (BRATS), Ischemic Stroke Lesion Image Segmentation (ISLES), and the Mild Traumatic Brain Injury Outcome Prediction (mTOP), held in Athens, October 17, 2016, in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 26 papers presented in this volume were carefully reviewed. They present the latest advances in segmentation, disease prognosis and other applications to the clinical context. .
9783319555249
10.1007/978-3-319-55524-9 doi
Computer vision.
Pattern recognition systems.
Artificial intelligence.
Algorithms.
Data mining.
Medical informatics.
Computer Vision.
Automated Pattern Recognition.
Artificial Intelligence.
Algorithms.
Data Mining and Knowledge Discovery.
Health Informatics.
TA1634
006.37