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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, ...
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...
Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and optimization partner, may help aid in the detection of skin cancer. Using an ...
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