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Journal of Imaging Informatics in Medicine
Published in: Journal of Digital Imaging 2/2020

01-04-2020 | Leukemia

Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images

Authors: Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, Brij Mohan Kumar Singh, I Sandhya

Published in: Journal of Imaging Informatics in Medicine | Issue 2/2020

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Abstract

Peripheral blood smear analysis plays a vital role in diagnosing many diseases including cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased number of white blood cells in peripheral blood. Unusual variations in appearance of white blood cells indicate leukemia. In this paper, an automated method for detection of leukemia using image processing approach is proposed. In the present study, 1159 images of different brightness levels and color shades were acquired from Leishman stained peripheral blood smears. SVM classifier was used for classification of white blood cells into normal and abnormal, and also for detection of leukemic WBCs from the abnormal class. Classification of the normal white blood cells into five sub-types was performed using NN classifier. Overall classification accuracy of 98.8% was obtained using the combination of NN and SVM.
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Metadata
Title
Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images
Authors
Roopa B. Hegde
Keerthana Prasad
Harishchandra Hebbar
Brij Mohan Kumar Singh
I Sandhya
Publication date
01-04-2020
Publisher
Springer International Publishing
Keyword
Leukemia
Published in
Journal of Imaging Informatics in Medicine / Issue 2/2020
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-019-00288-y

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