Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm.
J Invest Dermatol 2018 Feb 8. Epub 2018 Feb 8.
Department of Dermatology, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea. Electronic address:
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevus, lentigo, pyogenic granuloma, hemangioma, dermatofibroma, and wart. The convolutional neural network (Microsoft ResNet-152 model) was fine-tuned with images from the training portion of the Asan dataset, MED-NODE dataset, and atlas site images (20,826 images in total). The trained model was validated with the testing portion of the Asan, Hallym and Edinburgh datasets. Read More