Automated Brain Lobe Segmentation and Feature Extraction from Multiple Sclerosis Lesions Using Deep Learning.
Nada Haj MessaoudRim AyariAsma Ben AbdallahMohamed Hedi BedouiPublished in: VISIGRAPP (3): VISAPP (2024)
Keyphrases
- deep learning
- segmentation and feature extraction
- multiple sclerosis lesions
- grey matter
- brain structures
- magnetic resonance images
- corpus callosum
- white matter
- unsupervised learning
- human brain
- brain tissue
- mr images
- machine learning
- weakly supervised
- cortical thickness
- magnetic resonance
- cerebrospinal fluid
- mental models
- brain images
- partial volume effects
- medical image analysis
- quantitative analysis
- medical imaging
- learning strategies
- post mortem
- image registration
- face recognition
- data mining