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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