Report Summarizes Glaucoma Study Findings from Malaviya National Institute of Technology Jaipur (Ca-net: a Novel Cascaded Attention-based Network for Multistage Glaucoma Classification Using Fundus Images).

A recent study conducted at the Malaviya National Institute of Technology Jaipur in India has proposed a novel cascaded attention-based network called CA-Net for efficient multistage glaucoma classification using fundus images. Glaucoma is a common eye disease that can lead to partial or permanent blindness if not detected early. The researchers developed the CA-Net to address the challenges of detecting multiple stages of glaucoma, such as subtle lesion size variations and redundant features in the fundus images. The experimental results showed that CA-Net outperformed other state-of-the-art methods, and visualization results provided further insight into its performance. Further studies are being conducted to verify the effectiveness of each component of CA-Net. [Extracted from the article]