A Novel Approach for the Detection of Tuberculosis and Pneumonia Using Chest X-Ray Images for Smart Healthcare Applications-Reference-Cited by-同舟云学术

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A Novel Approach for the Detection of Tuberculosis and Pneumonia Using Chest X-Ray Images for Smart Healthcare Applications

Published:2023-12 Issue:12 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Kabi Subrat Kumar¹^ORCID,Tripathy Rajesh Kumar²^ORCID,Patra Dipti¹^ORCID,Panda Ganapati³^ORCID

Affiliation:

1. Department of Electrical Engineering, National Institute of Technology (NIT), Rourkela, India

2. Department of Electrical and Electronics Engineering, BITS-Pilani, Hyderabad Campus, Secunderabad, India

3. Department of Electronics and Communication Engineering, CV Raman Global University, Bhubaneswar, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10312795/10295958.pdf?arnumber=10295958

Reference23 articles.

1. Multi-class Chest X-ray classification of Pneumonia, Tuberculosis and Normal X-ray images using ConvNets

2. Pneumonia detection in chest X-ray images using an ensemble of deep learning models

3. Scikit-learn: Machine learning in python;pedregosa;J Mach Learn Res,2011

4. Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features

5. Classification of pneumonia and tuberculosis from chest X-rays;abubakar,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Analysis on Various Tuberculosis Detection Techniques and Remedial Suggestions Using Deep Learning;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Machine Learning for Holistic Pneumonia Management: Detection And Remediation;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

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