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Found 2 papers, 2 papers with code
Survival prediction using ensemble tumor segmentation and transfer learning
Moreover, predicting the survival of the patient using mainly imaging features, while being a desirable outcome to evaluate the treatment of the patient, it is also a difficult task.
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
We evaluate the accuracy of the proposed method on the public MS lesion segmentation challenge MICCAI2008 dataset, comparing it with respect to other state-of-the-art MS lesion segmentation tools.
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