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Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges

Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges

Renuka Veerappa Tali, Surekha Borra, Mufti Mahmud
Copyright: © 2021 |Volume: 12 |Issue: 2 |Pages: 29
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781799860273|DOI: 10.4018/IJACI.2021040107
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MLA

Tali, Renuka Veerappa, et al. "Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges." IJACI vol.12, no.2 2021: pp.111-139. http://doi.org/10.4018/IJACI.2021040107

APA

Tali, R. V., Borra, S., & Mahmud, M. (2021). Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges. International Journal of Ambient Computing and Intelligence (IJACI), 12(2), 111-139. http://doi.org/10.4018/IJACI.2021040107

Chicago

Tali, Renuka Veerappa, Surekha Borra, and Mufti Mahmud. "Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges," International Journal of Ambient Computing and Intelligence (IJACI) 12, no.2: 111-139. http://doi.org/10.4018/IJACI.2021040107

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Abstract

Manual analysis of microscopic blood smears by highly expert pathologists is labor-intensive, time-consuming, and is subject to inter-observer variations. Recent innovations in image processing and computer vision techniques have improvised digital pathology in terms of objectivity and reproducibility. Traditional computer vision-based methods of recognition of white blood cell (WBC) from a pathological blood smear image includes the process of detection, segmentation, and classification. This paper presents a review of state-of-the-art detection, segmentation, and classification techniques for white blood cell analysis. The goal of this work is to present an introduction to the field, provide enough information about the analysis methods developed so far, and to be an appropriate reference for the researchers looking forward in this field. The methods under review are classified into intensity and feature based. The crucial steps involved in these techniques, mathematical foresights, performance evaluation techniques, issues, and future directions are discussed.

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