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

This is the authors' abstract. We don't add key points for this paper.

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.