A comparative approach for classifying retinal OCT images based on deep learning framework-Reference-Cited by-同舟云学术

A comparative approach for classifying retinal OCT images based on deep learning framework

Published:2022-05-19 Issue:4 Volume:25 Page:859-870
ISSN:0972-0529
Container-title:Journal of Discrete Mathematical Sciences and Cryptography
language:en
Short-container-title:Journal of Discrete Mathematical Sciences and Cryptography

Author:

Dureja Aman¹²,Pahwa Payal³

Affiliation:

1. Department of Computer Science & Engineering, University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University. New Delhi, India

2. Department of Information Technology, Bhagwan Parshuram Institute of Technology, Rohini, New Delhi, India

3. Department of Computer Science & Engineering, Bhagwan Parshuram Institute of Technology, Rohini, New Delhi, India

Publisher

Taru Publications

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720529.2022.2068595

Reference30 articles.

1. A review of content-based image retrieval systems in medical applications—clinical benefits and future directions

2. Linear Models of Cumulative Distribution Function for Content-based Medical Image Retrieval

3. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

4. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

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