SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI.
Albert ClériguesSergi ValverdeJosé BernalJordi FreixenetArnau OliverXavier LladóPublished in: CoRR (2018)
Keyphrases
- deep learning
- lesion segmentation
- magnetic resonance imaging
- multiple sclerosis
- outcome prediction
- magnetic resonance images
- unsupervised learning
- medical images
- mr images
- machine learning
- manual segmentation
- mental models
- mri data
- white matter
- genomic data
- data sets
- magnetic resonance
- similarity measure
- feature extraction
- graph cuts
- data model