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

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

Harsh states that early detection through the app helps patients expedite treatment leading to faster relief. He designed the entire platform himself, using machine learning models from Apple’s ...

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.

Because of COVID-19 concerns, skin cancer screenings were down this year. This simple way to track skin over time is a plus for doctors and patients.