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2017 GTC San Jose

S7822 - Dermatologist-Level Classification of Skin Cancer with Deep Neural Networks

Session Speakers
Session Description

Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Here we demonstrate classification of skin lesions using a single CNN, trained end-to-end from images directly. We test its performance against 21 board-certified dermatologists on biopsy-proven clinical images with two critical binary classification use cases: malignant carcinomas versus benign seborrheic keratoses; and malignant melanomas versus benign nevi. The CNN achieves performance on par with all tested experts across both tasks, demonstrating an AI capable of classifying skin cancer with dermatologist-level accuracy.


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Talk
AI in Healthcare Summit Computer Vision and Machine Vision Deep Learning and AI Healthcare and Life Sciences
Healthcare & Life Sciences
25 minutes
Session Schedule