Enhancing multi-class lung disease classification in chest x-ray images: A hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural network approach-Reference-Cited by-同舟云学术

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Enhancing multi-class lung disease classification in chest x-ray images: A hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural network approach

Published:2024-05-16 Issue: Volume: Page:1-32
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Thavasimuthu Rajendran¹,Hanumanthakari Sudheer²,Sekar Sridhar³,Kirubakaran Sakthivel⁴

Affiliation:

1. Department of Sustainable Engineering, Saveetha School of Engineering, Chennai, India

2. Department of ECE, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India

3. Department of Research, Rajalakshmi Institute of Technology (Autonomous), Chennai, India

4. Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad, India

Funder

no funding

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2350579

Reference44 articles.

1. A computational stochastic procedure for solving the epidemic breathing transmission system

2. A radial basis deep neural network process using the Bayesian regularization optimization for the monkeypox transmission model

3. Assessment of the Occupational Risk of Tuberculosis & Air Borne Infection Control in High-Risk Hospital Wards and Its Implications on Healthcare Workers in a Tertiary Care Hospital in South India

4. Hybrid deep learning for detecting lung diseases from X-ray images

5. Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19

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