A hybrid system using a U-Net, Gaussian mixture models, and a CNN plus handcrafted features with an SVM reports 0.841 class-averaged recall on the ISIC 2018 validation set.
The validation scores are for our information and are not proposed to be made public
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Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features
A hybrid system using a U-Net, Gaussian mixture models, and a CNN plus handcrafted features with an SVM reports 0.841 class-averaged recall on the ISIC 2018 validation set.