DALS: Deep Active Lesion Segmentation

19 Aug 2019Ali HatamizadehAssaf HoogiDebleena SenguptaWuyue LuBrian WilcoxDaniel RubinDemetri Terzopoulos

Lesion segmentation is an important problem in computer-assisted diagnosis that remains challenging due to the prevalence of low contrast, irregular boundaries that are unamenable to shape priors. We introduce Deep Active Lesion Segmentation (DALS), a fully automated segmentation framework for that leverages the powerful nonlinear feature extraction abilities of fully Convolutional Neural Networks (CNNs) and the precise boundary delineation abilities of Active Contour Models (ACMs)... (read more)

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