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

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.

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.

The researchers suggest that these advanced, pretrained machine learning models could expand the reach of machine learning-based cancer diagnosis to resource-limited settings.

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 ...

Mount Sinai's Waldman Melanoma and Skin Cancer Center uses relatively new screening technology to detect and monitor spots.

How your phone can help One of the best examples of new tech helping bridge this pandemic-fueled health care gap is the new skin-cancer-fighting app Miiskin (iOS, Android).