Identification and red blood cell classification using computer aided system to diagnose blood disorders

Vasundhara Acharya, Preetham Kumar

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

4 Citations (Scopus)

Abstract

Red blood cell count plays a vital role in identifying the overall health of the patient. Mature Red blood cells undergo morphological changes when blood disorder exists. Automated and Manual techniques exist in the market to count the number of RBCs(Red blood cells). Manual counting involves the use of Hemocytometer to count the blood cells. The conventional method of placing the smear under a microscope and counting the cells manually leads to erroneous results and medical laboratory technicians are put under stress. Automated counters fail to identify abnormal cells. A computer aided system will help to attain precise results in less amount of time. This research work proposes an image processing technique to separate the Red blood cell from other components of blood. It aims to examine and process the blood smear image, in order to support the classification of Red blood cells into 11 categories. K-Medoids algorithm which is robust to external noise is used to extract the WBCs from the image. The granulometric analysis is used to separate the Red blood cells from White blood cells. Feature extraction is done to obtain the significant features that help in classification. The classification results help in diagnosing the diseases like Sickle Cell Anemia, Hereditary Spherocytosis, Normochromic Anemia, Iron Deficiency Anemia, Megaloblastic Anemia and Hypochromic Anemia within few seconds.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2098-2104
Number of pages7
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - 30-11-2017
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: 13-09-201716-09-2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
CountryIndia
CityManipal, Mangalore
Period13-09-1716-09-17

Fingerprint

Blood
Cells
Feature extraction
Image processing
Microscopes
Health
Iron

All Science Journal Classification (ASJC) codes

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

Cite this

Acharya, V., & Kumar, P. (2017). Identification and red blood cell classification using computer aided system to diagnose blood disorders. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 2098-2104). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8126155
Acharya, Vasundhara ; Kumar, Preetham. / Identification and red blood cell classification using computer aided system to diagnose blood disorders. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2098-2104
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Acharya, V & Kumar, P 2017, Identification and red blood cell classification using computer aided system to diagnose blood disorders. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2098-2104, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8126155

Identification and red blood cell classification using computer aided system to diagnose blood disorders. / Acharya, Vasundhara; Kumar, Preetham.

2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 2098-2104.

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

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Acharya V, Kumar P. Identification and red blood cell classification using computer aided system to diagnose blood disorders. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2098-2104 https://doi.org/10.1109/ICACCI.2017.8126155