Classification red blood cells using support vector machine

Jameela Ali Akrimi, Azizah Suliman, Loay E. George, Abd Rahim Ahmad

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

3 Citations (Scopus)

Abstract

The shape of red blood cells (RBCs) contributes to clinical diagnoses of blood diseases. The field of medical imaging has become more important because of the increasing need for automated and efficient diagnoses within a short period of time. Imaging technique plays an important role in RBC research for hematology. Classification is an important component of the retrieval system which allows one to distinguish between normal RBCs and abnormal RBCs which indicate anemia. In this paper, image processing techniques that use the optimization segmentation and mean filter play an important role in obtaining the geometric, texture and color features related to RBC images by using a photo imaging microscope. The support vector machine, which is an advanced kernel-based technique, is used to classify RBC data as either normal or abnormal, the proposed classifier algorithm achieved very good accuracy rates with validation measure of sensitivity, specificity and Kappa to be 100%, 0.998% and 0.9944 respectively.

Original languageEnglish
Title of host publicationConference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN
Subtitle of host publicationCultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-269
Number of pages5
ISBN (Electronic)9781479954230
DOIs
Publication statusPublished - 23 Mar 2015
Event6th International Conference on Information Technology and Multimedia, ICIMU 2014 - Putrajaya, Malaysia
Duration: 18 Nov 201420 Nov 2014

Other

Other6th International Conference on Information Technology and Multimedia, ICIMU 2014
CountryMalaysia
CityPutrajaya
Period18/11/1420/11/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

Fingerprint Dive into the research topics of 'Classification red blood cells using support vector machine'. Together they form a unique fingerprint.

  • Cite this

    Akrimi, J. A., Suliman, A., George, L. E., & Ahmad, A. R. (2015). Classification red blood cells using support vector machine. In Conference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014 (pp. 265-269). [7066642] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIMU.2014.7066642