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

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 15 cited

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

Sergi Valverde, Mariano Cabezas, Eloy Roura +7

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…