Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images

Hegde, Roopa B and Keerthana, Prasad and Hebbar, Harishchandra H and Singh, Brij Mohan Kumar (2018) Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images. Journal of Medical Systems, 42 (11). ISSN 0148-5598

[img] PDF
4691.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy

Abstract

Peripheral Blood Smear analysis plays a vital role in diagnosis of many diseases such as leukemia, anemia, malaria, lymphoma and infections. Unusual variations in color, shape and size of blood cells indicate abnormal condition. We used a total of 117 images from Leishman stained peripheral blood smears acquired at a magnification of 100X. In this paper we present a robust image processing algorithm for detection of nuclei and classification of white blood cells based on features of the nuclei.We used novel image enhancement method to manage illumination variations and TissueQuant method to manage color variations for the detection of nuclei. Dice similarity coefficient of 0.95 was obtained for nucleus detection. We also compared the proposed method with a state-of-the-art method and the proposed method was found to be better. Shape and texture features of the detected nuclei were used for classifying white blood cells. We considered classification of WBCs using two approaches such as 5-class and cell-by-cell approaches using neural network and hybrid-classifier respectively. We compared the results of both the approaches for classification of white blood cells. Cell-by-cell approach offered 1.4% higher sensitivity in comparison with the 5-class approach.We obtained an accuracy of 100% for lymphocyte and basophil detection. Hence, we conclude that lymphocytes and basophils can be accurately detected even when the analysis is limited to the features of nuclei whereas, accurate detection of other types of WBCs will require analysis of the cytoplasm too.

Item Type: Article
Uncontrolled Keywords: Peripheral blood smear images . Nuclei detection .WBC classification . Computer aided detection
Subjects: Information Sciences > MCIS Manipal
Medicine > KMC Manipal > Pathology
Depositing User: MIT Library
Date Deposited: 04 Aug 2018 05:28
Last Modified: 04 Aug 2018 05:28
URI: http://eprints.manipal.edu/id/eprint/151654

Actions (login required)

View Item View Item