Dermatologists Working with Convolutional Neural Networks Showed Improvement in Melanoma Identification

Source: HCP Live, May 2023

Dermatologist cooperation with a market-approved convolutional neural network (CNN) may improve skin lesion identification performance, according to recent findings.

This study into market-approved CNN use by dermatologists was conducted in order to optimize collaboration in skin cancer screening, especially given the fact that early melanoma diagnosis is essential with regard to patients’ prognosis.

This research was authored by Julia K. Winkler, MD, from the Department of Dermatology at the University of Heidelberg in Germany, and was done to assess a cooperative format as neural networks for skin cancer detection had already been shown to achieve on par or superior performance alone compared to dermatologists.