Fast Lesion Extraction using Convolutional Neural Networks
Python codes for training and prediction are provided. Trained models using manually labeled atlases from ISBI-2015 challenge (https://www.nitrc.org/projects/longitudi...) are also provided. The CNN is implemented in Tensorflow and Keras (https://github.com/fchollet/keras).
This work was developed with funding support from the National Multiple Sclerosis Society (RG-1507-05243) and from the Center for Neuroscience and Regenerative Medicine in the Department of Defense.
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