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

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

physics.med-ph2017

Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI

Christian Mata, Alain Lalande, Paul Walker +2

Purpose: The goal of this study is to show the advantage of a collaborative work in the annotation and evaluation of prostate cancer tissues from T2-weighted MRI compared to the co…

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…