Author(s): Carl Jordan Britto, Anita H. B

Email(s): carljordanbritto@gmail.com , anita.hb@christuniversity.in

DOI: 10.5958/0974-360X.2019.00361.5   

Address: Carl Jordan Britto1, Dr. Anita H. B2
1MCA, PG Scholar, Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka.
2Associate Professor, Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka.
*Corresponding Author

Published In:   Volume - 12,      Issue - 5,     Year - 2019


ABSTRACT:
Health is the greatest gift to any human being. Growth of the nation depends on the health of every individual. To maintain health and hygiene, a human being must eat good food. For eating healthy food teeth plays an important role. The teeth being a small part of the body plays a very critical part in digestion. Many times due to time constraints patient cannot go to the hospital at right time or wants to get a second opinion. So, in this aspect, the proposed system is created to diagnose the status of the tooth automatically. The anticipated system takes x-ray images as input and classifies the output as a category of radiolucency that it falls under. The classification of the tooth is done by using Multi-Layer Perceptron (MLP), SMO, KNN. Features are extracted using both, Spatial and Frequency domain. Classification is done using Weka tool.


Cite this article:
Carl Jordan Britto, Anita H. B. Classification of Radiolucency in Dental X-Ray Image. Research J. Pharm. and Tech. 2019; 12(5):2171-2174. doi: 10.5958/0974-360X.2019.00361.5

Cite(Electronic):
Carl Jordan Britto, Anita H. B. Classification of Radiolucency in Dental X-Ray Image. Research J. Pharm. and Tech. 2019; 12(5):2171-2174. doi: 10.5958/0974-360X.2019.00361.5   Available on: https://rjptonline.org/AbstractView.aspx?PID=2019-12-5-20


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RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

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