Computer-aided classification of IIF patterns in autoimmune dermatoses
Deep neural networks incorporating segmentation provide highly accurate classification of immunofluorescence patterns on the tissue substrates esophagus and salt-split skin for detection of autoimmune bullous dermatoses (AIBD). A recently published study in collaboration with researchers at the Department of Dermatology and Lübeck Institute of Experimental Dermatology of the University of Lübeck, Germany describes the development […]




