Enabling Accurate Tuberculosis Diagnosis through Deep Learning on Patient CXR Images-Reference-Cited by-同舟云学术

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Enabling Accurate Tuberculosis Diagnosis through Deep Learning on Patient CXR Images

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 2nd International Conference on Algorithms, Data Mining, and Information Technology
language:
Short-container-title:

Author:

Shu Yuan Chun¹^ORCID,Liu Ming¹^ORCID

Affiliation:

1. Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, China

Funder

the Medico-Engineering Cooperation Funds from University of Electronic Science and Technology of China

the Municipal Government of Quzhou

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625403.3625411

Reference17 articles.

1. Tuberculosis

2. Sudre , P. , ten Dam , G. , & Kochi, A. ( 1992 ). Tuberculosis: a global overview of the situation today. Bulletin of the World Health Organization , 70(2), 149–159. Sudre, P., ten Dam, G., & Kochi, A. (1992). Tuberculosis: a global overview of the situation today. Bulletin of the World Health Organization, 70(2), 149–159.

3. Tuberculosis

4. Toman , K. ( 1979 ). Tuberculosis case-finding and chemotherapy (pp. 167-172) . Geneva : WHO. Toman, K. (1979). Tuberculosis case-finding and chemotherapy (pp. 167-172). Geneva: WHO.

5. Silverman , C. ( 1949 ). An appraisal of the contribution of mass radiography in the discovery of pulmonary tuberculosis. American review of tuberculosis, 60(4), 466-482 . Silverman, C. (1949). An appraisal of the contribution of mass radiography in the discovery of pulmonary tuberculosis. American review of tuberculosis, 60(4), 466-482.

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