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
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
Recommended Citation
Albis, C. R., Bernardo, V. R., & Wong, M. S. (2007). Malignant colon cancer detection through image processing and application of artificial neural network. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/5949