Detection and Diagnosis of Breast Cancer Using a Bayesian Approach-Reference-Cited by-同舟云学术

Detection and Diagnosis of Breast Cancer Using a Bayesian Approach

Published:2020 Issue: Volume: Page:335-341
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
Short-container-title:

Author:

Krishnakumar Nathina,Abdou Tamer

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-47358-7_34

Reference14 articles.

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3. Cruz-Ramírez, N., Acosta-Mesa, H.G., Carrillo-Calvet, H., Alonso Nava-Fernández, L., Barrientos-Martínez, R.E.: Diagnosis of breast cancer using Bayesian networks: a case study. Comput. Biol. Med. 37(11), 1553–1564 (2007)

4. Duda, R.O., Hart, P.E., Stork, D.G.: Maximum-likelihood and Bayesian parameter estimation. In: Pattern Classification, Chap. 3, pp. 84–159, 2nd edn. Wiley (2012)

5. Fallahi, A., Jafari, S.: An expert system for detection of breast cancer using data preprocessing and Bayesian network. Int. J. Adv. Sci. Technol. 34, 65–70 (2011)

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