Automatic identification of mycobacterium tuberculosis with conventional light microscopy-Reference-Cited by-同舟云学术

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Automatic identification of mycobacterium tuberculosis with conventional light microscopy

Published:2008-08 Issue: Volume: Page:
ISSN:
Container-title:2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Author:

Costa Marly G. F.,Costa Filho Cicero F. F.,Sena Juliana F.,Salem Julia,de Lima Mari O.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4636107/4649055/04649170.pdf?arnumber=4649170

Cited by 35 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. Automated Methods for Tuberculosis Detection/Diagnosis: A Literature Review;BioMedInformatics;2023-09-01

2. A prospective observational multicentric clinical trial to evaluate microscopic examination of acid-fast bacilli in sputum by artificial intelligence-based microscopy system;Journal of Investigative Medicine;2023-05-09

3. Detection of Tuberculosis Bacilli Using Deep Learning;2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP);2023-03-04

4. Identification of Tuberculosis Bacilli from Bright Field Microscopic Sputum Smear Images using U-Net and Random Forest Classification Algorithm;2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS);2023-02-01

5. Computational techniques for the automated detection of mycobacterium tuberculosis from digitized sputum smear microscopic images: A systematic review;Progress in Biophysics and Molecular Biology;2022-07

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