Improving the Performance of Convolutional Neural Network for the Segmentation of Optic Disc in Fundus Images Using Attention Gates and Conditional Random Fields

Improving the Performance of Convolutional Neural Network for the Segmentation of Optic Disc in Fundus Images Using Attention Gates and Conditional Random Fields

The localization and segmentation of optic disc (OD) in fundus images is a crucial step in the pipeline for detecting the early onset of retinal diseases, such as macular degeneration, diabetic retinopathy, glaucoma, etc. In this paper, we are proposing a novel convolutional neural network architect...

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Bibliographic Details
Main Authors: Bhargav J. Bhatkalkar, Dheeraj R. Reddy, Srikanth Prabhu, Sulatha V. Bhandary
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Optic disc
attention network
conditional random fields
deep learning
biomedical imaging
Online Access:https://ieeexplore.ieee.org/document/8986563/

Internet

https://ieeexplore.ieee.org/document/8986563/

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