Detection of leukemia in human blood sample based on microscopic images

A study

Kasmin Fauziah, Satria Prabuwono Anton, Azizi Abdullah

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

At the moment, identification of blood disorders is through visual inspection of microscopic images of blood cells. From the identification of blood disorders, it can lead to classification of certain diseases related to blood. This paper describes a preliminary study of developing a detection of leukemia types using microscopic blood sample images. Analyzing through images is very important as from images, diseases can be detected and diagnosed at earlier stage. From there, further actions like controlling, monitoring and prevention of diseases can be done. Images are used as they are cheap and do not require expensive testing and lab equipments. The system will focus on white blood cells disease, leukemia. The system will use features in microscopic images and examine changes on texture, geometry, color and statistical analysis. Changes in these features will be used as a classifier input. A literature review has been done and Reinforcement Learning is proposed to classify types of leukemia. A little discussion about issues involved by researchers also has been prepared.

Original languageEnglish
Pages (from-to)579-586
Number of pages8
JournalJournal of Theoretical and Applied Information Technology
Volume46
Issue number2
Publication statusPublished - 2012

Fingerprint

Leukemia
Blood
Disorder
Cells
Literature Review
Cell
Reinforcement learning
Reinforcement Learning
Statistical Analysis
Human
Inspection
Texture
Statistical methods
Classifiers
Textures
Classify
Classifier
Monitoring
Moment
Color

Keywords

  • Leukemia
  • Microscopic images
  • Reinforcement learning
  • White blood cell

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Detection of leukemia in human blood sample based on microscopic images : A study. / Fauziah, Kasmin; Anton, Satria Prabuwono; Abdullah, Azizi.

In: Journal of Theoretical and Applied Information Technology, Vol. 46, No. 2, 2012, p. 579-586.

Research output: Contribution to journalArticle

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