Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary ...

A researcher at Heriot-Watt University is harnessing the power of artificial intelligence to give patients living in remote ...

LONDON - A researcher at a Scottish university has developed AI tools that could give people in remote areas worldwide access to fast and potentially life-saving skin cancer diagnoses, reported PA ...

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

Led by Aliyu Tetengi Ibrahim and his team at Ahmadu Bello University, this study (DOI: 10.1016/j.dsm.2024.10.002), published in Data Science and Management on November 2, 2024, introduces an ...

British tech company Skin Analytics has received regulatory approval for an AI skin cancer detection system that uses a smartphone. Spotting skin cancer in the early stages leads to very high ...

This device stores an enormous dataset of thousands of images, against which the photograph is analysed in real-time using state-of-the-art image classification to reach a diagnosis.