Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition

The research deals on the detection and classification of Breast Carcinoma particularly Ductal Carcinoma. The study takes on the characteristics and definitions of Ductal Carcinoma by having a digital image from stained breast tissue samples, as seen in the microscope, analyzed and evaluated using I...

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Main Authors: Lorenzo, Eric Meyn C., Montalban, Ivan Gregg C., Real, John Reginald G., So Kua, Donard V.
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Language:English
Published: Animo Repository 2007
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14313
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-14955
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-149552021-11-17T03:21:36Z Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition Lorenzo, Eric Meyn C. Montalban, Ivan Gregg C. Real, John Reginald G. So Kua, Donard V. The research deals on the detection and classification of Breast Carcinoma particularly Ductal Carcinoma. The study takes on the characteristics and definitions of Ductal Carcinoma by having a digital image from stained breast tissue samples, as seen in the microscope, analyzed and evaluated using Image Processing (first module) and Fuzzy Pattern Recognition (second module). The first module analyzes the Terminal Duct Lobular Unit (TDLU) by implementing a number of processing techniques such as Nuclei Extraction, Filtering and Feature Extraction to name a few. The second module uses Fuzzy Membership Functions to evaluate the degree and level at which the image is an Invasive Carcinoma (malignant) or Noninvasive (benign) and if invasive, would it be an Invasive Ductal Carcinoma NST (no specific type) or of a different type. The overall accuracy of the study is 95%. 2007-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14313 Bachelor's Theses English Animo Repository Breast--Radiography--Automation Image processing--Digital techniques Computer Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Breast--Radiography--Automation
Image processing--Digital techniques
Computer Engineering
spellingShingle Breast--Radiography--Automation
Image processing--Digital techniques
Computer Engineering
Lorenzo, Eric Meyn C.
Montalban, Ivan Gregg C.
Real, John Reginald G.
So Kua, Donard V.
Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition
description The research deals on the detection and classification of Breast Carcinoma particularly Ductal Carcinoma. The study takes on the characteristics and definitions of Ductal Carcinoma by having a digital image from stained breast tissue samples, as seen in the microscope, analyzed and evaluated using Image Processing (first module) and Fuzzy Pattern Recognition (second module). The first module analyzes the Terminal Duct Lobular Unit (TDLU) by implementing a number of processing techniques such as Nuclei Extraction, Filtering and Feature Extraction to name a few. The second module uses Fuzzy Membership Functions to evaluate the degree and level at which the image is an Invasive Carcinoma (malignant) or Noninvasive (benign) and if invasive, would it be an Invasive Ductal Carcinoma NST (no specific type) or of a different type. The overall accuracy of the study is 95%.
format text
author Lorenzo, Eric Meyn C.
Montalban, Ivan Gregg C.
Real, John Reginald G.
So Kua, Donard V.
author_facet Lorenzo, Eric Meyn C.
Montalban, Ivan Gregg C.
Real, John Reginald G.
So Kua, Donard V.
author_sort Lorenzo, Eric Meyn C.
title Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition
title_short Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition
title_full Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition
title_fullStr Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition
title_full_unstemmed Breast cancer (Ductal Carcinoma) detection and classification software using fuzzy pattern recognition
title_sort breast cancer (ductal carcinoma) detection and classification software using fuzzy pattern recognition
publisher Animo Repository
publishDate 2007
url https://animorepository.dlsu.edu.ph/etd_bachelors/14313
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