Image-processing techniques in machine learning (ML) for skin cancer detection using clinical images.

SKIN CANCER is one of the most common malignancies, originating in the epidermis and strongly linked to excessive ultraviolet exposure from sunlight or tanning beds. In 2023 the United States recorded ...

By combining those tools with machine learning, their goal was to see if the combination would work as a noninvasive and more objective in vivo diagnostic tool.

LUGANO, 30 September, 2021 – A new study has found that a direct-to-consumer machine learning model for detecting skin cancers incorrectly classified rare and aggressive cancers as low-risk.1 ...

New technology using AI to tell the difference between harmless moles and dangerous melanomas has hit the market. Created by FotoFinder Systems, Moleanalyzer pro is a portal that lets physicians ...

Devices that use artificial intelligence to evaluate skin lesions are beginning to emerge, but AI has some hurdles to overcome before it's widely accepted in dermatology.

Researchers are using machine-learning to build tools in the realm of cancer detection and diagnosing, potentially catching tumors or lesions that doctors could miss.