Mycobacterium Tuberculosis Detection Using CNN Ranking Approach-Reference-Cited by-同舟云学术

Mycobacterium Tuberculosis Detection Using CNN Ranking Approach

Published:2021-12-07 Issue: Volume: Page:583-596
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Singh Vinayak^ORCID,Gourisaria Mahendra Kumar^ORCID,Harshvardhan GM ^ORCID,Singh Vijander^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-4369-9_56

Reference29 articles.

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3. Van Cleeff, M.R.A., Kivihya-Ndugga, L.E., Meme, H., Odhiambo, J.A., Klatser, P.R.: The role and performance of chest X-ray for the diagnosis of tuberculosis: a cost-effectiveness analysis in Nairobi, Kenya. BMC Infect. Dis. 5(1), 1–9 (2005)

4. GM, H., Gourisaria, M.K., Rautaray, S.S., Pandey, M.: UBMTR: unsupervised boltzmann machine-based time-aware recommendation system. J. King Saud Univ.-Comput. Inf. Sci. (2021)

5. GM, H., Gourisaria, M.K., Pandey, M., Rautaray, S.S.: A comprehensive curvey and analysis of generative models in machine learning. Comput. Sci. Rev. 38, 100285 (2020)

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