Muscularis mucosae layer detection in colon biopsy images

Mohd Yamin Ahmad, Azlinah Mohamed, Yasmin Anum Mohd Yusof, Siti Aishah Md Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Manual screening of colon cancer biopsy tissue under microscope is difficult and time consuming. With the help of a computerized system, the diagnosis time can be shortened. In this paper, we proposed a method of detecting the layer of muscularis mucosae in the colon biopsy tissue image. By using RGB color information, we analyzed 65 images and preserved a specific range of color and evaluated the density of the preserved colour. A separation line is drawn to distinguish the layers. The result shows that by using the proposed method, layer of muscularis mucosae are detected with about 84% accuracy. The output of this detection is highly important as supporting evidence in the colon cancer cells image detection.

Original languageEnglish
Title of host publication2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011 - Kajang
Duration: 14 Nov 201116 Nov 2011

Other

Other2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011
CityKajang
Period14/11/1116/11/11

Fingerprint

Biopsy
Color
Tissue
Screening
Microscopes
Cells
Mucous Membrane

Keywords

  • colon cancer
  • Image processing
  • muscularis mucosae
  • RGB

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Information Systems
  • Software

Cite this

Ahmad, M. Y., Mohamed, A., Mohd Yusof, Y. A., & Ali, S. A. M. (2011). Muscularis mucosae layer detection in colon biopsy images. In 2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011 [6122758] https://doi.org/10.1109/ICIMU.2011.6122758

Muscularis mucosae layer detection in colon biopsy images. / Ahmad, Mohd Yamin; Mohamed, Azlinah; Mohd Yusof, Yasmin Anum; Ali, Siti Aishah Md.

2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011. 2011. 6122758.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmad, MY, Mohamed, A, Mohd Yusof, YA & Ali, SAM 2011, Muscularis mucosae layer detection in colon biopsy images. in 2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011., 6122758, 2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011, Kajang, 14/11/11. https://doi.org/10.1109/ICIMU.2011.6122758
Ahmad MY, Mohamed A, Mohd Yusof YA, Ali SAM. Muscularis mucosae layer detection in colon biopsy images. In 2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011. 2011. 6122758 https://doi.org/10.1109/ICIMU.2011.6122758
Ahmad, Mohd Yamin ; Mohamed, Azlinah ; Mohd Yusof, Yasmin Anum ; Ali, Siti Aishah Md. / Muscularis mucosae layer detection in colon biopsy images. 2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011. 2011.
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abstract = "Manual screening of colon cancer biopsy tissue under microscope is difficult and time consuming. With the help of a computerized system, the diagnosis time can be shortened. In this paper, we proposed a method of detecting the layer of muscularis mucosae in the colon biopsy tissue image. By using RGB color information, we analyzed 65 images and preserved a specific range of color and evaluated the density of the preserved colour. A separation line is drawn to distinguish the layers. The result shows that by using the proposed method, layer of muscularis mucosae are detected with about 84{\%} accuracy. The output of this detection is highly important as supporting evidence in the colon cancer cells image detection.",
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