Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence.
Richard McKinleyLorenz GrunderRik WepferFabian AschwandenTim FischerChristoph FriedliRaphaela MuriChristian RummelRajeev VermaChristian WeisstannerMauricio ReyesAnke SalmenAndrew ChanRoland WiestFranca WagnerPublished in: CoRR (2019)
Keyphrases
- automatic detection
- multiple sclerosis
- brain mri
- lesion segmentation
- convolutional neural networks
- magnetic resonance images
- white matter
- region growing
- clinical trials
- anatomical structures
- chest ct
- corpus callosum
- lymph nodes
- mr images
- human brain
- segmentation method
- level set
- multiscale
- segmentation algorithm
- medical images
- medical image analysis
- medical imaging
- brain tissue