Tuberculosis Detection in Chest Radiography: A Combined Approach of Local Binary Pattern Features and Monarch Butterfly Optimization Algorithm-Reference-Cited by-同舟云学术

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Tuberculosis Detection in Chest Radiography: A Combined Approach of Local Binary Pattern Features and Monarch Butterfly Optimization Algorithm

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Fonseca Afonso U.¹,Rocha Bruno M.²,Nogueira Emilia A.¹,Vieira Gabriel S.³,Fernandes Deborah S. A.¹,Lima Junio C.³,Ferreira Julio C.³,Soares Fabrizzio¹

Affiliation:

1. Instituto de Informática, Universidade Federal de Goiás,Goiânia,GO,Brazil

2. Universidade Federal de Jataí,GO,Brasil

3. Instituto Federal Goiano,Urutaí,GO,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842695.pdf?arnumber=9842695

Reference41 articles.

1. Monarch butterfly optimization

2. Monarch butterfly optimization: A comprehensive review

3. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

4. Automatic detection of abnormalities in chest radiographs using local texture analysis

5. Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis

Cited by 1 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. Automatic Tuberculosis Detection using Binary Pattern of Phase Congruency;2022 International Conference on Computational Science and Computational Intelligence (CSCI);2022-12

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