Image preprocessing to improve Acid-Fast Bacilli (AFB) detection in smear microscopy to diagnose pulmonary tuberculosis-Reference-Cited by-同舟云学术

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Image preprocessing to improve Acid-Fast Bacilli (AFB) detection in smear microscopy to diagnose pulmonary tuberculosis

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Electronics, Communications and Computers (CONIELECOMP)
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Author:

Diaz-Huerta Jorge Luis,del Carmen Tellez-Anguiano Adriana,Gutierrez-Gnecchi Jose Antonio,Yair Colin- Gonzalez Owen,Zavala-Santoyo Fanny Lucia,Arellano-Calderon Sergio

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8671596/8673069/08673181.pdf?arnumber=8673181

Cited by 4 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. Combining Artificial Intelligence and Simplified Image Processing for the Automatic Detection of Mycobacterium tuberculosis in Acid-fast Stain;American Journal of Surgical Pathology;2024-04-09

2. Detection of Acid-Fast Bacilli AFB in Slit-Skin Smear Microscopy using MASK R-CNN Algorithm;Proceedings of the 2023 13th International Conference on Biomedical Engineering and Technology;2023-06-15

3. Analysis and comparison of image processing and artificial intelligence algorithms to detect AFB in pulmonary tuberculosis images;Tuberculosis;2022-05

4. Intelligent System for Diagnosis of Pulmonary Tuberculosis Using XGBoosting Method;Smart Innovation, Systems and Technologies;2022

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