• Used ResNet neural network architecture for training with 10 different skin diseases images and Mask RCNN to increase accuracy of prediction to more than 90% • Implemented successfully could help to prevent an estimated 21000 cases of melanoma by 2030 and save 250 million dollars annually in health care costs
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