AN ENHANCED TIBIA FRACTURE DETECTION TOOL USING IMAGE PROCESSING AND CLASSIFICATION FUSION TECHNIQUES IN X-RAY IMAGES

Dr. S.K.Mahendran; I.Kadar Shereef

AN ENHANCED TIBIA FRACTURE DETECTION TOOL USING IMAGE PROCESSING AND CLASSIFICATION FUSION TECHNIQUES IN X-RAY IMAGES

Dr. S.K.Mahendran * §

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I.Kadar Shereef

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§ Sankara College of Science and Commerce,Coimbatote,

AN ENHANCED TIBIA FRACTURE DETECTION TOOL USING IMAGE PROCESSING AND CLASSIFICATION FUSION TECHNIQUES IN X-RAY IMAGES

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Abstract

Automatic detection of fractures from x-ray images is considered as an important process in medical image analysis by both orthopaedic and radiologic point of view. This paper proposes a fusion-classification technique for automatic fracture detection from long bones, in particular the leg bones (Tibia bones). The proposed system has four steps, namely, preprocessing, segmentation, feature extraction and bone detect ion, which uses an amalgamation of image processing techniques for successful detection of fractures. Three classifiers, Feed Forward Back Propagation Neural Networks (BPNN), Support Vector Machine Classifiers (SVM) and Naïve Bayes Classifiers (NB) are used during fusion classification. The results from various experiments prove that the proposed system is shows significant improvement in terms of detection rate and speed of classification.

References

21 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. S.K.Mahendran, I.Kadar Shereef. 1970. "AN ENHANCED TIBIA FRACTURE DETECTION TOOL USING IMAGE PROCESSING AND CLASSIFICATION FUSION TECHNIQUES IN X-RAY IMAGES". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 14).

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GJCST Volume 11 Issue 14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST Classification I.4

J.3

Submission ReceivedJune 13, 2011
Peer Review Double Blind
Handling Editor
Accepted July 9, 2011
Published July 21, 2011

Version of record

v1.2

Issue date

August 2, 2011

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. S.K.Mahendran,S.Santhosh Baboo (PhD/Dr. count: 1)

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Publish Date: 2011 07, Thu

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