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Skin lesion segmentation using U-Net and good training strategies

11/27/2018

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by Fred Guth, et al.

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In this paper we approach the problem of skin lesion segmentation using a convolutional neural network based on the U-Net architecture. We present a set of training strategies that had a significant impact on the performance of this model. We evaluated this method on the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection, obtaining threshold Jaccard index of 77.5

Fred Guth
1 publication
Teofilo E. deCampos
1 publication

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