We developed and validated a smartphone-based application that provides a holistic and quantitative technique for detecting and identifying eyelid tumors in patients. Our system achieved an AUC of 0.917 on external datasets and proved reliable…
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images
