An AI system using dermoscopic images to detect skin cancer, aiding faster and accurate diagnosis

What is it about?

Melanoma is a dangerous type of skin cancer responsible for 55% of skin cancer deaths. Early diagnosis is crucial for successful treatment, as skin cancer can increase the risk of other cancers if untreated. A new intelligent system called Delphi helps diagnose melanoma without surgery, at a low cost, and with an accuracy of 98.88%. It uses the ABCDT rule (asymmetry, boundary, color, diameter, and texture) and an artificial neural network (ANN) to identify skin lesions. Tested on 180 images, it provides reliable results and can be a helpful tool for both dermatologists and the general public.

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Why is it important?

We’ve developed the novel ABCDT rule by improve the ABCD,for automatic diagnosis of skin cancer with greater accuracy and precision. In other words, in the current study, the extraction of features is done based on the ABCDT rule in dermoscopy.