"Image classification of microscopic colonic images using textural prop" by Laurence A. Gan Lim, Raouf N. G. Naguib et al.
 

Image classification of microscopic colonic images using textural properties and KSOM

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Article

Source Title

International Journal of Biomedical Engineering and Technology

Volume

3

Issue

3-4

First Page

308

Last Page

318

Publication Date

1-1-2010

Abstract

Colorectal cancer is considered the third most common neoplasm in the world. Traditionally, pathologists use a microscope to examine histopathological images of biopsy samples taken from patients and make judgments based on their professional expertise. Since this procedure is performed by a human expert, it is therefore subject to inconsistencies due to factors that might affect human performance. To overcome this problem, this paper proposes the use of Kohonen self-organising map and Haralick texture in the analysis of microscopic colonic images. The results presented here are preliminary and show great promise. Copyright © 2010 Inderscience Enterprises Ltd.

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Digitial Object Identifier (DOI)

10.1504/IJBET.2010.032698

Disciplines

Computer Sciences | Medicine and Health Sciences

Keywords

Colon (Anatomy)—Cancer—Imaging; Self-organizing maps; Diagnostic imaging

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