Glaucoma is a chronic and irreversible neurodegenerative disease in which the neuro-retinal nerve that connects the eye to the brain (optic nerve) is progressively damaged and patients suffer from vision loss and blindness. The World Health Organization has declared Glaucoma to be the second largest cause of blindness all over the world and it encompasses 15% of the blindness cases in world which makes 5.2 million of the world’s population and the number is expected to increase upto 80 million by 2020.
Dataset Summary:
A local database of 462 images has been gathered from local hospital. The images are captured using TopCon TRC 50EX camera with a resolution of 1504×1000. A subset of this database containing 120 images is annotated from ophthalmologists for glaucoma and named as GlaucomaDatabase (GlaucomaDB). A MATLAB based annotation tool has been used by the ophthalmologists for calculation of CDR and labeling of images as glaucoma or non glaucoma. The sole purpose of this database is to facilitate the researchers in automated detection of glaucoma.
Citation:
Please cite our article if you use this database for evaluation
Khalil, Tehmina; Usman Akram, Muhammad; Khalid, Samina; Jameel, Amina: ‘Improved automated detection of glaucoma from fundus image using hybrid structural and textural features’, IET Image Processing, 2017, 11, (9), p. 693-700,