Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

16 Feb 2017Sergi ValverdeMariano CabezasEloy RouraSandra González-VillàDeborah ParetoJoan-Carles VilanovaLLuís Ramió-TorrentàÀlex RoviraArnau OliverXavier Lladó

In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D patch-wise convolutional neural networks (CNN)... (read more)

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