A Deep InceptionV3 Model for Detecting Tuberculosis Disease Using CXR Images
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3485-0_59
Reference19 articles.
1. Guo R, Passi K, Jain CK (2020) Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models. Front Artif Intell. https://doi.org/10.3389/frai.2020.583427
2. Sharma SK, Mohan A (2013) Tuberculosis: from an incurable scourge to a curable disease—Journey over a millennium. Ind J Med Res
3. Silverman C (1949) An appraisal of the contribution of mass radiography in the discovery of pulmonary tuberculosis. Am Rev Tuberc
4. Ramya R, Babu PS. Automatic tuberculosis screening using canny Edge detection method. https://doi.org/10.1109/ECS.2015.7124909
5. van Cleeff MRA, Kivihya-Ndugga LE, Meme H, Odhiambo JA, Klatser PR (2005) The role and performance of chest X-ray for the diagnosis of tuberculosis: a cost-effective analysis in Nairobi, Kenya. BMC Infect Dis. https://doi.org/10.1186/1471-2334-5-111
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