Deep CNN based microaneurysm-haemorrhage classification in retinal images considering local neighbourhoods-Reference-Cited by-同舟云学术

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Deep CNN based microaneurysm-haemorrhage classification in retinal images considering local neighbourhoods

Published:2021-11-29 Issue: Volume: Page:1-15
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Nandy Pal Mahua¹^ORCID,Sarkar Ankit²,Gupta Anindya³,Banerjee Minakshi⁴

Affiliation:

1. CSE Department, MCKV Institute of Engineering, Howrah, India

2. Computer Consultancy, TATA Consultancy Services Ltd, Hyderabad, India

3. Regional Institute of Ophthalmology, Medical College, Kolkata, India

4. CSE Department, RCC Institute of Information Technology, Kolkata, India

Funder

no funding

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2021.2002190

Reference28 articles.

1. Application of Higher Order Spectra for the Identification of Diabetes Retinopathy Stages

2. A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm

3. Microaneurysm detection using deep learning and interleaved freezing

4. Microaneurysm detection using fully convolutional neural networks

5. Retinal Microaneurysms Detection Using Local Convergence Index Features

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1. Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains;Diagnostics;2023-03-23

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