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 ...

This tech is intended to enable early detection of skin conditions in remote areas worldwide, without internet or direct access to medical professionals.

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

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 ...

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 ...

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 ...

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.