A Robust Framework for Glaucoma Detection and Segmentation of Real Time Fundus Images using Hybrid ASCL Model

Author:

Charulatha G.1,U Maheswaran2,G Kalyan Kumar3,Sasirekha N.4,N Meenakshisundaram.5

Affiliation:

1. Peri Institute of Technology,Department of Electronics and Communication Engineering,Chennai

2. Dhanalakshmi College of Engineering,Department of Electronics and Communication Engineering,Chennai

3. Rajalakshmi Instittue of Technology,Department of Computer and Communication Engineering,Chennai

4. Sona College of Technology,Department of Electronics and Communication Engineering,Salem

5. Saveetha School of Engineering, SIMATS,Department of Electronics and Communication,Chennai

Publisher

IEEE

Reference14 articles.

1. Neural Foraminal Stenosis Classifications using Multi-Feature Hierarchical Clustering and Delineation

2. Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies;ramkumar;Contrast Media & Molecular Imaging,2021

3. A Novel Text Recognition Scheme using Classification Assisted Digital Image Processing Strategy

4. Semi-supervised transfer learning for convolutional neural networks for glaucoma detection;al;ICASSP 2019-2019 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2019

5. Optic disc and cup segmentation for glaucoma characterization using deep learning;j;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS),2019

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