Transfer Learning of ImageNet Neural Network for Pigmented Skin Lesion Detection



Traditional Artificial Neural Networks (ANN) have been investigated in the past for skin lesion classification and nowadays their performance is already quite useful to assist in medical diagnosis and decision processes. In the field of visual object recognition, recent developments of such networks (Deep Convolutional Neural Networks) are currently the winners of the ImageNet competition. This work extends the use of CNN for classification of pigmented skin lesions, by investigating a training methodology based on transfer learning on pre-trained networks.


medical image analysis, deep learning


24th Portuguese Conference on Pattern Recognition – RECPAD 2018, October 2018

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