Automatic expert diagnostic system in CRC
Other Title(s)
نظام متخصص لتشخيص سرطان القولون
Dissertant
al-Muharib, Hibah Ahmad Salasi
Thesis advisor
Comitee Members
al-Zubi, Muhammad
Khasawinah, Baha al-Din
Jasir, Edward
University
Princess Sumaya University for Technology
Faculty
King Hussein Faculty for Computing Sciences
Department
Department of Computer Sciences
University Country
Jordan
Degree
Master
Degree Date
2016
English Abstract
This research implements an automatic expert diagnostics system that employs medical image processing to improve early colon cancer detection via machine learning.
The process includes a four-step algorithm in order to achieve the objectives addressed in this research.
These steps are performed automatically by the system where it has been trained and tested by supervised pre-determined parameters.
The system successfully achieved 88.4 percent sensitivity for polyps greater than 6mm in size with less than two false positive per case.
The system has been tested against other work and using different number of polyps, where it recorded a successful classification for 92 polyps out of 104, over an average testing of ten times.
Main Subjects
Information Technology and Computer Science
No. of Pages
63
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review..
Chapter Three : Methodology.
Chapter Four : Results and discussion.
References.
American Psychological Association (APA)
al-Muharib, Hibah Ahmad Salasi. (2016). Automatic expert diagnostic system in CRC. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-693729
Modern Language Association (MLA)
al-Muharib, Hibah Ahmad Salasi. Automatic expert diagnostic system in CRC. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2016).
https://search.emarefa.net/detail/BIM-693729
American Medical Association (AMA)
al-Muharib, Hibah Ahmad Salasi. (2016). Automatic expert diagnostic system in CRC. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-693729
Language
English
Data Type
Arab Theses
Record ID
BIM-693729