Segmentation of overlapping cytoplasm and overlapped areas in Pap smear images

Dwiza Riana, Achmad Nizar Hidayanto, Dwi H. Widyantoro, Tati Latifah R. Mengko, Oemie Kalsoem

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

5 Citations (Scopus)

Abstract

The ample of overlapping cells that complicate the slides reading and interpretation by pathologists has become a problem encountered in the conventional retrieval result. Another delicate problem is determining and analyzing the nucleus in the Pap smear of microcospic cells with inflammatory. A method for detecting overlapping cells and reducing the inflammatory cells to facilitate cell identification is required to solve the problems of overlapping cells and inflammatory cells. The proposed method is based on the fact that in isolated cells, the cell nucleus is located in the center of the surrounding cytoplasm. The first phase of the proposed method is the segmentation of the overlapping cells which consists of overlapping cytoplasm segmentation and overlapped area segmentation. The second phase of the proposed method is the overlapping cell separation and the last phase is the inflammatory cells ellimination and nucleus detection. The method has been evaluated on single cell images of conventional Pap smears, and the results are very promising.

Original languageEnglish
Title of host publication2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538637319
DOIs
Publication statusPublished - 14 Mar 2018
Event8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 - Larnaca, Cyprus
Duration: 27 Aug 201730 Aug 2017

Publication series

Name2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Volume2018-January

Conference

Conference8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
CountryCyprus
CityLarnaca
Period27/08/1730/08/17

Keywords

  • Inflammatory Cells
  • Pap smear images
  • overlapped areas
  • overlapped cell segmentation

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