Scientists developed a way of using artificial intelligence to check for skin cancer with the AI tool, which was trained on data from 53,601 skin lesions from 25,105 patients, outperforming existing ...
The tool could make it easier for clinicians to rule out melanoma without the need for excision. A new dual-modal, non-invasive detection technique could make it easier—and faster—to differentiate ...
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Pretrained machine learning models may help diagnose nonmelanoma skin cancer in resource-limited settings
Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in identifying nonmelanoma skin cancers (NMSC) from digital images of tissue samples, ...
According to the American Cancer Society, more than 100,000 people will be diagnosed with melanoma this year. The good news is now that treatments have advanced, death rates have declined. Diagnostic ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
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