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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 , Department Of Dermatology , Munich Institute , Biomedical Engineering , Technical University , Munich School , Deep Learning , Research Project ,

Technical University of Munich: New algorithm for classification of skin lesions

Many people worldwide suffer from skin diseases. For diagnosis, physicians often combine multiple information sources. These include, for instance, clinical images, microscopic images and meta-data such as the age and gender of the patient. Deep lear ....

Tobias Lasser , Technical University Of Munich , University Hospital , Munich Institute Of Biomedical Engineering , Department Of Dermatology , Munich Institute , Biomedical Engineering , Technical University ,