X-Ray Medical Image Classification Based on Multi Classifiers

M. M. Abdulrazzaq, Shahrul Azman Mohd Noah, Moayad A. Fadhil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Advances in the medical imaging technology has lead to a growth in the number of digital images that needs to be classified, stored and retrieved properly. Content Based Image Retrieval (CBIR) systems represent the application of specific computer vision techniques to retrieve images from large databases based on their visual features, such as color, texture and shape. Practically, the use of these visual features only does not offer appropriate measurement performance and accuracy since those features cannot express the high-level semantics of users. Therefore, image classification systems based on machine learning techniques are used as solutions for this problem of CBIR systems. In our previous works, performance of different feature types were investigated by using two techniques of machine learning which are k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM). In this paper, we extend that work by exploring the effect of combining these two classifiers. Our experiments show accuracy improvements based on using ImageCLEF2005 dataset.

Original languageEnglish
Title of host publicationProceedings - 2015 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-223
Number of pages6
ISBN (Electronic)9781509004249
DOIs
Publication statusPublished - 25 May 2016
Event4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015 - Kuala Lumpur, Malaysia
Duration: 8 Dec 201510 Dec 2015

Other

Other4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015
CountryMalaysia
CityKuala Lumpur
Period8/12/1510/12/15

Fingerprint

Image classification
Image Classification
Image retrieval
Medical Image
Learning systems
Classifiers
Content-based Image Retrieval
Classifier
X rays
Machine Learning
Medical imaging
Computer vision
Support vector machines
Textures
Performance Measurement
Semantics
Medical Imaging
Color
Digital Image
Computer Vision

Keywords

  • Content Based Image Retrieval (CBIR)
  • ImageCLEF2005
  • k-Nearest Neighbor (k-NN)
  • machine learning
  • Support Vector Machine (SVM)

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications

Cite this

Abdulrazzaq, M. M., Mohd Noah, S. A., & Fadhil, M. A. (2016). X-Ray Medical Image Classification Based on Multi Classifiers. In Proceedings - 2015 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015 (pp. 218-223). [7478747] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSAT.2015.45

X-Ray Medical Image Classification Based on Multi Classifiers. / Abdulrazzaq, M. M.; Mohd Noah, Shahrul Azman; Fadhil, Moayad A.

Proceedings - 2015 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 218-223 7478747.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abdulrazzaq, MM, Mohd Noah, SA & Fadhil, MA 2016, X-Ray Medical Image Classification Based on Multi Classifiers. in Proceedings - 2015 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015., 7478747, Institute of Electrical and Electronics Engineers Inc., pp. 218-223, 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015, Kuala Lumpur, Malaysia, 8/12/15. https://doi.org/10.1109/ACSAT.2015.45
Abdulrazzaq MM, Mohd Noah SA, Fadhil MA. X-Ray Medical Image Classification Based on Multi Classifiers. In Proceedings - 2015 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 218-223. 7478747 https://doi.org/10.1109/ACSAT.2015.45
Abdulrazzaq, M. M. ; Mohd Noah, Shahrul Azman ; Fadhil, Moayad A. / X-Ray Medical Image Classification Based on Multi Classifiers. Proceedings - 2015 4th International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 218-223
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