Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review

S. Sapna; A. Renuka

doi:10.1109/ICCIC.2017.8524465

Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review

S. Sapna
, A. Renuka

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

Leukocytes present in the blood are responsible for providing protection against infections. Differential Blood Count is a medical procedure conducted by pathologists to identify and count the different kinds of leukocytes in blood to aid the identification of diseases. This procedure requires the pathologists to perform microscopic evaluation which is time consuming and human involvement in the process may produce error prone results. Many computer-aided systems have been designed to perform segmentation and categorization of leukocytes from the peripheral blood smear images to automate the process and reduce manual involvement. This paper presents a survey of different techniques proposed by researchers for segmentation and classification of leukocytes accentuating its pros and cons and the scope for future research in this context is also discussed.

Original language	English
Title of host publication	2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017
Editors	N. Krishnan, M. Karthikeyan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509066209
DOIs	https://doi.org/10.1109/ICCIC.2017.8524465
Publication status	Published - 05-11-2018
Event	8th IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017 - Tamilnadu, India Duration: 14-12-2017 → 16-12-2017

Publication series

Name	2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017

Conference

Conference	8th IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017
Country/Territory	India
City	Tamilnadu
Period	14-12-17 → 16-12-17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Signal Processing
Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications

Access to Document

10.1109/ICCIC.2017.8524465

Cite this

Sapna, S., & Renuka, A. (2018). Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review. In N. Krishnan, & M. Karthikeyan (Eds.), 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017 Article 8524465 (2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIC.2017.8524465

Sapna, S. ; Renuka, A. / Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review. 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017. editor / N. Krishnan ; M. Karthikeyan. Institute of Electrical and Electronics Engineers Inc., 2018. (2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017).

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title = "Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review",

abstract = "Leukocytes present in the blood are responsible for providing protection against infections. Differential Blood Count is a medical procedure conducted by pathologists to identify and count the different kinds of leukocytes in blood to aid the identification of diseases. This procedure requires the pathologists to perform microscopic evaluation which is time consuming and human involvement in the process may produce error prone results. Many computer-aided systems have been designed to perform segmentation and categorization of leukocytes from the peripheral blood smear images to automate the process and reduce manual involvement. This paper presents a survey of different techniques proposed by researchers for segmentation and classification of leukocytes accentuating its pros and cons and the scope for future research in this context is also discussed.",

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Sapna, S & Renuka, A 2018, Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review. in N Krishnan & M Karthikeyan (eds), 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017., 8524465, 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017, Institute of Electrical and Electronics Engineers Inc., 8th IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017, Tamilnadu, India, 14-12-17. https://doi.org/10.1109/ICCIC.2017.8524465

Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review. / Sapna, S.; Renuka, A.
2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017. ed. / N. Krishnan; M. Karthikeyan. Institute of Electrical and Electronics Engineers Inc., 2018. 8524465 (2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review

AU - Sapna, S.

AU - Renuka, A.

PY - 2018/11/5

Y1 - 2018/11/5

N2 - Leukocytes present in the blood are responsible for providing protection against infections. Differential Blood Count is a medical procedure conducted by pathologists to identify and count the different kinds of leukocytes in blood to aid the identification of diseases. This procedure requires the pathologists to perform microscopic evaluation which is time consuming and human involvement in the process may produce error prone results. Many computer-aided systems have been designed to perform segmentation and categorization of leukocytes from the peripheral blood smear images to automate the process and reduce manual involvement. This paper presents a survey of different techniques proposed by researchers for segmentation and classification of leukocytes accentuating its pros and cons and the scope for future research in this context is also discussed.

AB - Leukocytes present in the blood are responsible for providing protection against infections. Differential Blood Count is a medical procedure conducted by pathologists to identify and count the different kinds of leukocytes in blood to aid the identification of diseases. This procedure requires the pathologists to perform microscopic evaluation which is time consuming and human involvement in the process may produce error prone results. Many computer-aided systems have been designed to perform segmentation and categorization of leukocytes from the peripheral blood smear images to automate the process and reduce manual involvement. This paper presents a survey of different techniques proposed by researchers for segmentation and classification of leukocytes accentuating its pros and cons and the scope for future research in this context is also discussed.

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M3 - Conference contribution

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BT - 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017

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PB - Institute of Electrical and Electronics Engineers Inc.

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Sapna S, Renuka A. Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review. In Krishnan N, Karthikeyan M, editors, 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017. Institute of Electrical and Electronics Engineers Inc. 2018. 8524465. (2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017). doi: 10.1109/ICCIC.2017.8524465

Techniques for Segmentation and Classification of Leukocytes in Blood Smear Images - A Review

Abstract

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