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

Face detection is an important process used to extract faces from static images or video frames. In this paper, a face detection system is demonstrated using skin color segmentation algorithm.

Researchers have developed a revolutionary biosensor using terahertz (THz) waves that can detect skin cancer with exceptional sensitivity, potentially paving the way for earlier and easier diagnoses.

The trained human eye is rather good at finding skin spots that could be cancerous, but a new machine is proving even the best doctors can't come close to matching the skills of artificial ...

DermaSensor Inc., the pioneer of the first point-and-click skin cancer detection device for primary care physicians, announces the publication of a ne ...

Scientists developed a way of using artificial intelligence to check for skin cancer with the AI tool, which was trained on data from 53,601 skin lesions from 25,105 patients, outperforming ...

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

Skin cancer checks will be carried out by AI using smartphones on the NHS. The National Institute for Health and Care Excellence (Nice) has backed the use of the technology to examine suspicious ...