Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine

Published Date: Jan 1, 2024

Abstract

BACKGROUND: Segmentation of retinal fragments like blood vessels, Optic Disc (OD), and Optic Cup (OC) enables the early detection of different retinal pathologies like Diabetic Retinopathy (DR), Glaucoma, etc.

Authors

Sreema Ma

Department of Electronics and Communication Engineering, Arunachala College of Engineering for Women, Manavilai, India.
Jayachandran A

Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, India.
Sudarson Rama Perumal T

Department of Computer Science and Engineering, Rohini College of Engineering and Technology, Nagercoil, India.

Keywords

Deep Learning Diabetic Retinopathy Fundus Oculi Glaucoma Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Optic Disk

External Resources

View on PubMed Access via DOI PubMed (39058458)

Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals