Deep learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumor diagnosis.

CONCLUSIONS: We developed an efficient skin tumor classifier using a DCNN trained on a relatively small dataset. The DCNN could classify images of skin tumors more accurately than board-certified dermatologists. Collectively, the current system may have capabilities for screening purposes in general medical practice, particularly because it only requires a single clinical image for classification. This article is protected by copyright. All rights reserved.
PMID: 29901853 [PubMed - as supplied by publisher]

Source: The British Journal of Dermatology - June 14, 2018 Category: Dermatology Authors: Fujisawa Y, Otomo Y, Ogata Y, Nakamura Y, Fujita R, Ishitsuka Y, Watanabe R, Okiyama N, Ohara K, Fujimoto M Tags: Br J Dermatol Source Type: research