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

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 ...

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 ...

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.

A new dual-modal, non-invasive detection technique could make it easier—and faster—to differentiate between melanoma skin cancer and benign lesions.

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