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

Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, I. Sandhya

    Research output: Contribution to journalReview articlepeer-review

    8 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)467-480
    Number of pages14
    JournalBiocybernetics and Biomedical Engineering
    Volume38
    Issue number3
    DOIs
    Publication statusPublished - 01-01-2018

    All Science Journal Classification (ASJC) codes

    • Biomedical Engineering

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