Blood Cells Classification for Identification of Acute Lymphoblastic Leukemia on Microscopic Images Using Image Processing

Shelly Oktia Heriawati, Tri Harsono, Mochamad Mobed Bachtiar, Yetti Hernaningsih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Acute lymphoblastic leukemia (ALL) is a type of leukemia (cancer of the white blood cells) that generally occurs in children. ALL have 3 sub-types, namely Ll, L2, and L3. Microscopic examination to classify ALL subtypes are still done manually by hematologists through visual identification under a microscope, it is difficult to classify ALL subtypes because the characteristics of each subtype are almost the same. This paper proposes a system that is able to detect and classify subtypes of Acute Lymphoblastic Leukemia blood cells using Image Processing. The classification method using K-Nearest Neighbor (K-NN) algorithm based on geometrical and statistical features. In cell object detection, the pre-processing step is used to improve the image quality before going further to the segmentation step using threshold and watershed algorithms. 73 K-NN Dataset from all subtypes of ALL image features were generated to calculate the similarity between new unseen data. In testing results, our proposed classification system achieves 80 % overall accuracy. Each subtype's accuracy was 75 %, 73.33 %, and 93.33 % for the L1 subtype, L2 subtype, and L3 subtype.

Original languageEnglish
Title of host publicationInternational Electronics Symposium 2021
Subtitle of host publicationWireless Technologies and Intelligent Systems for Better Human Lives, IES 2021 - Proceedings
EditorsAndhik Ampuh Yunanto, Artiarini Kusuma N, Hendhi Hermawan, Putu Agus Mahadi Putra, Farida Gamar, Mohamad Ridwan, Yanuar Risah Prayogi, Maretha Ruswiansari
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-220
Number of pages6
ISBN (Electronic)9781665443463
DOIs
Publication statusPublished - 29 Sept 2021
Event23rd International Electronics Symposium, IES 2021 - Surabaya, Indonesia
Duration: 29 Sept 202130 Sept 2021

Publication series

NameInternational Electronics Symposium 2021: Wireless Technologies and Intelligent Systems for Better Human Lives, IES 2021 - Proceedings

Conference

Conference23rd International Electronics Symposium, IES 2021
Country/TerritoryIndonesia
CitySurabaya
Period29/09/2130/09/21

Keywords

  • ALL Subtypes
  • Acute Lymphoblastic Leukemia
  • Classification
  • Image Processing
  • K-Nearest Neighbor

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