GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification

• Published in: 2023 IEEE International Conference on Image Processing (ICIP) pp. 3454 - 3458
• Main Authors: Das, Dipankar, Nayak, Deepak Ranjan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08.10.2023
• Subjects: Blindness; CAM; CNN; Feature extraction; Glaucoma; Global self-attention module; Lesions; Multi-stage glaucoma classification; Real-time systems; Retina; SAM; Task analysis

Glaucoma is a common eye disease that leads to irreversible blindness unless timely detected. Hence, glaucoma detection at an early stage is of utmost importance for a better treatment plan and ultimately saving the vision. The recent literature has shown the prominence of CNN-based methods to detec...