Fig. 3From: Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural networkExamples of the automatic lens localization process. a Four representative positive and negative samples from the original images. b, c The intermediate localization results of twice-applied Canny detections and Hough transformations. d Final localization resultsBack to article page