Melanoma Detection: Computer Vision for Skin Cancer
Kian Ghodoussi, Leena Mathur, Priyank Aranke, Zane Durante
Early detection, diagnosis, and prevention of melanoma skin cancer is crucial for patient survival. Far too often, melanoma progresses to advanced stages because patients lack the ability to self-diagnose malignant moles and do not feel the need to consult a dermatologist until it becomes too late. We are using a style transfer algorithm to create a unique dataset of cell-phone quality, labelled, melanoma mole images. Using this data, we will be training a convolutional neural network to predict the likelihood of moles being cancerous, in order to inspire patients to pursue further treatment and medical consultation to reduce the likelihood of fatal melanoma.