Glaucoma detection from retinal fundus images using graph convolution based multi-task model
Glaucoma is an abnormality in the eye condition that, if not treated within a safe time limit, can result in visual loss. Glaucoma diagnosis requires professionals to identify minor structural changes in the structure of the optic disc and optic cup from retinal fundus images in a short period. Deep...
Saved in:
| Main Authors: | Satyabrata Lenka, Zefree Lazarus Mayaluri, Ganapati Panda |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671125000385 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
GlauSeg-Net: Retinal Fundus Medical Image Automatic Segmentation With Multi-Task Learning for Glaucoma Early Screening
by: Shuting Chen, et al.
Published: (2024-01-01) -
Spatial Multifeature and Dual-Layer Multihop Graph Convolution Networks for Hyperspectral Image Classification
by: Xiangyue Yu, et al.
Published: (2025-01-01) -
Blockchain enabled IoMT and transfer learning for ocular disease classification
by: Muhammad Adnan Khan, et al.
Published: (2025-05-01) -
MulGCN: MultiGraph Convolutional Network for Aspect-Level Sentiment Analysis
by: Huyen Trang Phan, et al.
Published: (2025-01-01) -
Feature recommendation strategy for graph convolutional network
by: Jisheng Qin, et al.
Published: (2022-12-01)