DRG-NET: A graph neural network for computer-aided grading of diabetic retinopathy

• Published in: Signal, image and video processing Vol. 16; no. 7; pp. 1869 - 1875
• Main Authors: Salam, Amritha Abdul, Mahadevappa, Manjunatha, Das, Asha, Nair, Madhu S.
• Format: Journal Article
• Language: English
• Published: London Springer London 01.10.2022; Springer Nature B.V
• Subjects: Computer Imaging; Computer Science; Datasets; Diabetes; Diabetic retinopathy; Digital imaging; Digitization; Euclidean geometry; Feature extraction; Graph neural networks; Graphical representations; Image Processing and Computer Vision; Model accuracy; Multimedia Information Systems; Neural networks; Original Paper; Pattern Recognition and Graphics; Retinal images; Signal,Image and Speech Processing; Vision; Feature descriptor; Non-Euclidean geometry; Retinopathy; dimensional graph neural network

Diabetic retinopathy is emerging as a very serious vision disorder in the recent decades, due to escalation of diabetes world-over. This condition can be minimized to a great extend with timely prognosis. Computer-aided detection techniques are very useful for assisting ophthalmologists, for faster...