Automatic classification of light field smear microscopy patches using Convolutional Neural Networks for identifying mycobacterium tuberculosis-Reference-Cited by-同舟云学术

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Automatic classification of light field smear microscopy patches using Convolutional Neural Networks for identifying mycobacterium tuberculosis

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
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Author:

Lopez Yadini Perez,Costa Filho C.F.F.,Aguilera L.M.R.,Costa M.G.F.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8170169/8229498/08229512.pdf?arnumber=8229512

Cited by 19 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. Pulmonary Tuberculosis Diagnosis Using an Intelligent Microscopy Scanner and Image Recognition Model for Improved Acid-Fast Bacilli Detection in Smears;Microorganisms;2024-08-22

2. Evaluating Semantic Segmentation of Tuberculosis Bacilli in Bright Field Microscopy Using Different Color Spaces Components and Mosaic Images;IFMBE Proceedings;2024

3. Evaluation of Automatic Bacterial Classification Methods and Approaches;2023 9th International Conference on Smart Structures and Systems (ICSSS);2023-11-23

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

5. Deep Learning Based Approach in Automatic Microscopic Bacterial Image Classification;Emerging Trends in Expert Applications and Security;2023

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