Diagnosis of pathology on the vertebral column with backpropagation and Naive Bayes classifier

Author

Unal, Yavuz ; Kocer, H. Erdinc

Author_Institution

Educ. Fac., Amasya Univ., Amasya, Turkey

fYear

2013

fDate

9-11 May 2013

Firstpage

276

Lastpage

279

Abstract

Minimizing human errors in diagnosis is one of the most important aims of Computer-Aided Diagnosis (CAD) systems. CAD software is the software helping radiologists , specialist doctor for detect abnormality on medical views by using advanced pattern diagnosis and view processing methods. In this study, a CAD system that can help detection and diagnosis of Pathology on the Vertebral Column is introduced. The vertebral database used in the application is obtained from UCI (Machine Learning Repository). Various artificial intelligence methods were applied for the classification of this database obtained. The results obtained are comparatively explained in detail in the related part.

Keywords

Bayes methods; backpropagation; diseases; medical image processing; patient diagnosis; CAD software; UCI; artificial intelligence; backpropagation; computer-aided diagnosis; machine learning repository; naive Bayes classifier; pathology; vertebral column; Biomechanics; Software; artificial intelligence; computer aided diagnosis; machine learning; vertebral column;

fLanguage

English

Publisher

ieee

Conference_Titel

Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on

Conference_Location

Konya

Print_ISBN

978-1-4673-5612-1

Type

conf

DOI

10.1109/TAEECE.2013.6557285

Filename

6557285