Dense net with shark mud ring optimization for severity detection of tuberculosis using sputum image-Reference-Cited by-同舟云学术

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Dense net with shark mud ring optimization for severity detection of tuberculosis using sputum image

Published:2024-05 Issue: Volume:91 Page:105929
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Singh Jagrati,Ramya Ruth,M. Vijay

Publisher

Elsevier BV

Reference29 articles.

1. Fractional crow search-based support vector neural network for patient classification and severity analysis of tuberculosis;Chithra;IET Image Proc.,2019

2. Tuberculosis (TB) detection system using deep neural networks;Dinesh Jackson Samuel;Neural Comput. & Applic.,2019

3. Tuberculosis bacteria detection and counting in fluorescence microscopy images using a multi-stage deep learning pipeline;Zachariou;Information,2022

4. GFNN: gaussian-Fuzzy-Neural network for diagnosis of tuberculosis using sputum smear microscopic images;Mithra;J. King Saud Univ.-Comput. Inform. Sci.,2021

5. An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks;Kuok;Microsc. Res. Tech.,2019

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1. Bio-Inspired Metaheuristic Feature Fusionmethod for Multi-Biometric Identification;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

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