Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19-Reference-Cited by-同舟云学术

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Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19

Published:2024-05-27 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kansal Kajal^ORCID,Chandra Tej Bahadur^ORCID,Singh Akansha^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19350-1.pdf

Reference192 articles.

1. WHO (2023) Chronic respiratory diseases. https://www.who.int/health-topics/chronic-respiratory-diseases#tab=tab_1. Accessed 10 Mar 2023

2. WHO (2023) Pneumonia in children. https://www.who.int/news-room/fact-sheets/detail/pneumonia. Accessed 10 Mar 2023

3. WHO (2021) Weekly epidemiological update on COVID-19 - 14 September 2021. https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19---14-september-2021. Accessed 10 Mar 2023

4. Che Engku Noramalina (2016) Detection of Tuberculosis (TB) using Gold Standard Method, Direct Sputum Smears Microscopy, PCR, qPCR and Electrochemical DNA Sensor. https://www.researchgate.net/publication/320258096_Detection_of_Tuberculosis_TB_using_Gold_Standard_Method_Direct_Sputum_Smears_Microscopy_PCR_qPCR_and_Electrochemical_DNA_Sensor. Accessed 10 Mar 2023

5. Basu S, Mitra S, Saha N et al (2020) Deep learning for screening COVID-19 using Chest X-Ray Images. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia, pp 2521-2527. https://doi.org/10.1109/SSCI47803.2020.9308571

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