Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions

Abstract

The findings from this study support that pre-trained networks trained via transfer learning can be beneficial in identifying rosacea lesions. Our future work will involve expanding the work to a larger database of cases with varying degrees of disease characteristics.