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Applied Artificial Intelligence
An International Journal
Volume 23, 2009 - Issue 9
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Original Articles

USING A NEURAL NETWORK FOR SUPPORTING RADIOGRAPHIC DIAGNOSIS OF DENTAL CARIES

Flávio de Souza Barbosa Graduate Program in Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, BrazilCorrespondence[email protected]
,
Karina Lopes Devito Department of Dentistry, Federal University of Juiz de Fora, Juiz de Fora, Brazil
&
Waldir Neme Felippe Filho NUMEC, Federal University of Juiz de Fora, Juiz de Fora, Brazil
Pages 872-882 | Published online: 16 Oct 2009

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Erik Čuk, Matjaž Gams, Rok Piltaver, Franc Strle, Vera Maraspin Čarman & Jurij F. Tasič. (2015) Intelligent System for Diagnosis of Erythema Migrans. Applied Artificial Intelligence 29:2, pages 134-147.
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Vivek Srivastava, B.K. Tripathi & V.K. Pathak. (2013) A HYBRID INTELLIGENT MODEL BASED ON EVOLUTIONARY FUZZY CLUSTERING AND SYNDICATE NEURAL NETWORKS. Applied Artificial Intelligence 27:2, pages 104-125.
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Articles from other publishers (3)

Vivek Srivastava. 2021. Advances in Bioinformatics. Advances in Bioinformatics 431 446 .
Anurag Satpathy, Ganapati Panda, Rajasekhar Gogula & Renu Sharma. (2020) Low Complexity Adaptive Nonlinear Models for the Diagnosis of Periodontal Disease. International Journal of Sensors, Wireless Communications and Control 10:4, pages 508-521.
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Neha Sharma & Hari Om. (2015) GMDH polynomial and RBF neural network for oral cancer classification. Network Modeling Analysis in Health Informatics and Bioinformatics 4:1.
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