Multiple Sclerosis Lesion Segmentation Using Longitudinal Normalization and Convolutional Recurrent Neural Networks.
Sergio Tascon-MoralesStefan HoffmannMartin TreiberDaniel MensingArnau OliverMatthias GüntherJohannes GregoriPublished in: MLCN/RNO-AI@MICCAI (2020)
Keyphrases
- recurrent neural networks
- lesion segmentation
- multiple sclerosis
- clinical trials
- white matter
- magnetic resonance images
- neural network
- feed forward
- brain mri
- mr images
- magnetic resonance
- artificial neural networks
- cross sectional
- magnetic resonance imaging
- brain tissue
- disease progression
- medical images
- brain images
- multi channel
- human brain
- decision support system