New electronic test is ten per cent more accurate than dermatologists at detecting skin cancer
Australian researchers have praised a computer that has been hailed for being better than an international team of specialists at detecting skin cancer. Scientists from Germany, the United States and France developed an artificial intelligence system to distinguish dangerous skin lesions from benign ones, showing it more than 100,000 images. The computer was found to offer more accuracy and fast diagnostics than 58 dermatologists from 17 countries, when shown photos of malignant melanomas and benign moles. Scientists from Germany, the U.S. and France developed an artificial intelligence system to distinguish dangerous skin lesions from benign ones, showing it more than 100,000 images On average, flesh and blood dermatologists accurately detected 86.6 percent of skin cancers from the images, compared to 95 percent for the machine, known as a convolutional neural network or CNN. Australian experts Victoria Mar, from Melbourne's Monash University, and Peter Soyer from the University of Queensland said it was a major breakthrough in detecting skin cancers.
May-29-2018, 08:20:09 GMT
- Country:
- Europe
- North America > United States (0.26)
- Oceania > Australia
- Queensland (0.28)
- Genre:
- Research Report > New Finding (0.56)
- Industry:
- Health & Medicine > Therapeutic Area
- Dermatology (1.00)
- Oncology > Skin Cancer (1.00)
- Health & Medicine > Therapeutic Area
- Technology: