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Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 1 (2018)

DOI
10.11591/ijece.v8i1.pp150-158
ISSN
2088-8708, 2088-8708
Published
2018-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Hematology tests are examinations that aim to know the state of blood and its components, one of which is leukocytes. Hematologic examinations such as the number and morphology of blood generally still done manually, especially by a specialist pathologist. Despite the fact that today there is equipment that can identify morphological automatically, but for developing countries like Indonesia, it can only be done in the capital city. Low accuracy due to the differences identified either by doctors or laboratory staff, makes a great reason to use computer assistance, especially with the rapid technological developments at this time. In this paper, we will emphasize our experiment to screen leucocyte cell nucleus by identifying the contours of the cell nucleus, diameter, circumference and area of these cells based on digital image processing techniques, especially using the morphological image. The results obtained are promising for further development in the development of computer-aided diagnosis for identification of leukocytes based on a simple and inexpensive equipment.

Collaboration network of the authors

38 authors · 157 co-authorship links · 10 across different organisations

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  • Jenderal Soedirman University
  • Nara Institute of Science and Technology
  • Institut Agama Islam Negeri Ternate
  • Mercu Buana University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Haris Budi WidodoJenderal Soedirman University8
Muhammad AlqaafNara Institute of Science and Technology7
Wahyu WidanartoAffiliation unknown5
Ariep Soelaiman SetiadiJenderal Soedirman University4
Suroso SurosoAffiliation unknown3
Pangestu F. WibowoJenderal Soedirman University3
Fibra R. FirmandaJenderal Soedirman University3
Dina RahmawatiInstitut Agama Islam Negeri Ternate2
Syafrudin Rais AkhdanAffiliation unknown2
Muhammad Rifqi KurniawanJenderal Soedirman University2
Arif Pujo RiyantoJenderal Soedirman University2
Muhammad Syaiful AliimJenderal Soedirman University2
Muhammad Irham AkbarJenderal Soedirman University2
Arsil Kultura AnzilAffiliation unknown2
Kartika Dwi HapsariAffiliation unknown2
Futiat Diana KartikaAffiliation unknown2
Andreas S. AryantoAffiliation unknown1
Mohammad Irham AkbarAffiliation unknown1
Eman SutrisnaAffiliation unknown1
Winasis WinasisAffiliation unknown1
Rafi Satria Dwi AwandaAffiliation unknown1
Madya Ardi WicaksonoAffiliation unknown1
Putra Dwi SusantoAffiliation unknown1
Madya Ardi WicaksonoAffiliation unknown1
Daniel Joko WahyonoAffiliation unknown1
Indah SulistiyawatiAffiliation unknown1
Mudrik AlaydrusMercu Buana University1
Lazuardi UmarAffiliation unknown1
Erfan HandokoAffiliation unknown1
Mukhtar EffendiAffiliation unknown1
Sib Krishna GhoshalAffiliation unknown1
Candra KurniawanAffiliation unknown1
Tomy TamtowiAffiliation unknown1
Jumaeda JatmikaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
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