DeepCONN: patch-wise deep convolutional neural networks for the segmentation of multiple sclerosis brain lesions.
Amrita KaurLakhwinder KaurAshima SinghPublished in: Multim. Tools Appl. (2024)
Keyphrases
- multiple sclerosis
- brain mri
- lesion segmentation
- convolutional neural networks
- gad enhancing
- grey matter
- magnetic resonance images
- anatomical structures
- white matter
- region growing
- corpus callosum
- mr images
- medical images
- magnetic resonance
- clinical trials
- brain tumors
- fully automatic
- cerebrospinal fluid
- human brain
- brain structures
- brain images
- fiber bundles
- multiscale
- segmentation algorithm
- level set
- edge detection