AdaRes: ResNet50 with AdaSwarm for Glaucoma Classification & Detection

Glaucoma is an illness that damages the human optic nerve and causes permanent blindness over the age of 60. It is an irreversible disease that results in loss of vision. To detect glaucoma from color retinal images, we use a variety of deep learning techniques. In this paper, for detection of glaucoma, an architecture has been proposed that is based on deep learning with meta-heuristic algorithm (Adaswarm). Firstly, the input images are pre-processed image. Since, these images are imbalanced so to balance this SMOTE technique is used and finally the proposed method is used to detect the glaucoma. To evaluate the proposed method several classification parameters are used.