Fig. 1: Schematic diagram of this study.
From: Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images
The development dataset was randomly divided into training dataset 1 and validation dataset 1 in an 8:2 ratio for developing the ocular localization model. Training dataset 1 was then divided into training dataset 2 and validation dataset 2 in a 9:1 ratio for developing the tumor classification model. The combined model was evaluated on validation dataset 1.
