Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review

Hegde, Roopa B and Keerthana, Prasad and Hebbar, Harishchandra N and Sandhya, I (2018) Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review. Biocybernetics and Biomedical Engineering, 38 (1). pp. 467-480. ISSN 0208-5216

[img] PDF
4692.pdf - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy


Peripheral blood smear analysis is a common practice to evaluate health status of a person. Many disorders such as malaria, anemia, leukemia, thrombocytopenia, sickle cell anemia etc., can be diagnosed by evaluating blood cells. Many groups have reported methods to automate blood smear analysis for detection of specific disorders for diagnostic purposes. In this paper, we have summarized the methods used to analyze peripheral blood smears using image processing techniques. We have categorized these methods into three groups based on approaches such as WBC analysis, RBC analysis and platelet analysis. We conclude that there is a need for a method of automation to match with human evaluation process and rule out any abnormality present in the blood smear. It is desirable for studies on automation of peripheral blood smear analysis to focus on development of robust method to handle illumination and color shade variations. Also, it is desirable to design a method which could collect all the abnormal regions from all views of a specimen to limit the manual evaluation to those regions making it more feasible for telemedicine applications.

Item Type: Article
Uncontrolled Keywords: Peripheral blood smear Image analysis Computer aided diagnosis Malaria diagnosis Leukemia diagnosis
Subjects: Information Sciences > MCIS Manipal
Depositing User: MIT Library
Date Deposited: 07 Jul 2018 09:28
Last Modified: 07 Jul 2018 09:28

Actions (login required)

View Item View Item