Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features

14 Mar 2017Jeremy KawaharaGhassan Hamarneh

The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and reproducible diagnoses. We reformulate the task of classifying clinical dermoscopic features within superpixels as a segmentation problem, and propose a fully convolutional neural network to detect clinical dermoscopic features from dermoscopy skin lesion images... (read more)

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