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New data fusion method classifies skin lesions more precisely than prior algorithms

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now developed an algorithm that classifies skin lesions more accurately than previous algorithms by using an improved data fusion process.
Tobias Lasser Emily Henderson University Hospital Technical University Of Munich Munich Institute Of Biomedical Engineering Department Of Informatics

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