Fig. 1From: Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural networkThe overall diagnosis framework for imbalanced ophthalmic images. a The automatic localization module for lens ROI. b The cost-factor optimization module for the CS-ResCNN method. c The CS-ResCNN development and evaluation module. ROI, region of interest; CS-ResCNN, cost-sensitive residual convolutional neural networkBack to article page