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

15 citations

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2 papers

eess.IV2021

Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa +3

We address the problem of supporting radiologists in the longitudinal management of lung cancer. Therefore, we proposed a deep learning pipeline, composed of four stages that compl…

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…