Malignant colon cancer detection through image processing and application of artificial neural network

Date of Publication

2007

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Edwin Sybingco

Defense Panel Chair

Enrique M. Manzano

Defense Panel Member

Antonio S. Gonzales

Joseph Patrick M. Valdez

Abstract/Summary

Cancer is one of the dreadfull diseases that persistently challenge biomedical engineering to use electronic means of detecting at an early stage of this disease. The inconsistent diagnostic results conducted in medical laboratories contribute to the demand of automatic verification system using digital image processing and artificial intelligence. The advancement of technology dictates the capability of biomedical applications to create an automatic detection system that adopts the capability of the pathologist in biopsy. This research achieved a means of detecting tissue sample images of candidate for Colon Cancer as positive or negative of malignancy.

This research uses digital image processing and artificial neural network to support the qualitative assessment of the pathologists. It uses the different microscopic characteristics of colon cancer images such as Nuclei Formation, Presence of Lumen, Nuclei vs. Cytoplasm Ratio and Uniformity, in classifying colon cancer images as positive or negative of malignancy.

Applying the concept in the techniques used in this study, the system was able to correctly detect several tissue sample images as positive or negative of Colon Cancer with an accuracy of 92.4%.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU13970

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

xviii, 163 leaves : ill. ; 28 cm.

Keywords

Artificial intelligence--Medical applications; Neural networks (Computer science); Colon (Anatomy)--Cancer--Diagnosis; Cancer--Computer simulation

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