Automated segmentation of multiple sclerosis lesions based on convolutional neural networks.
Nada Haj MessaoudAsma MansourMouna AissiRim AyariMahbouba FrihAsma Ben AbdallahMohamed Hedi BedouiPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2023)
Keyphrases
- convolutional neural networks
- automated segmentation
- multiple sclerosis lesions
- magnetic resonance images
- manual segmentation
- mr images
- brain structures
- grey matter
- medical images
- segmentation method
- segmentation accuracy
- ct scans
- magnetic resonance
- white matter
- clinical applications
- medical imaging
- statistical shape model
- fully automated
- mri data
- ground truth
- multiscale
- face detection