Skin Lesions Classification with Deep Convolutional Neural Network The Dataset The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions Results Models Validation Test Depth # Params Baseline 77.48% 76.54% 11 layers 2,124,839 Fine-tuned VGG16 (from last block) 79.82% 79.64% 23 layers 14,980,935 Fine-tuned Inception V3 (from the last 2 inception blocks) 79.935% 79.94% 315 layers 22,855,463 Fine-tuned Inception-ResNet V2 (from the Inception-ResNet-C) 80.82% 82.53% 784 layers 55,127,271 Fine-tuned DenseNet 201 (from the last dense block) 85.8% 83.9% 711 layers 19,309,127 Fine-tuned Inception V3 (all layers) 86.92% 86.826% _ _ Fine-tuned DenseNet 201 (all layers) 86.696% 87.725% _ _ Ensemble of fully-fine-tuned Inception V3 and DenseNet 201 88.8% 88.52% _ _