The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen

This project is about detecting which type of extra axial brain tumor suffered by patient using the artificial intelligence approach. Artificial intelligence method that used in this system is artificial neural network. The neural network approach takes the concept of human brain. Knowledge appea...

Full description

Bibliographic Details
Main Author:	Panagen, Suriyanti
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/987/ http://ir.uitm.edu.my/id/eprint/987/1/TB_SURIYANTI%20PANAGEN%20CS%2006_5%20P01.pdf

id	uitm-987
recordtype	eprints
spelling	uitm-9872018-10-16T03:00:29Z http://ir.uitm.edu.my/id/eprint/987/ The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen Panagen, Suriyanti Electronic computers. Computer science This project is about detecting which type of extra axial brain tumor suffered by patient using the artificial intelligence approach. Artificial intelligence method that used in this system is artificial neural network. The neural network approach takes the concept of human brain. Knowledge appearance is compulsory for neural network in which it comes under the training phase before it recognize or detecting any pattern.A study about the artificial neural network has been done and back propagation training algorithm is suitable for this system development. A research about brain tumor also has. been done and all data needed for this system was collected from Hospital Universiti Sains Malaysia (HUSM) Kubang Kerian, Kelantan. About 46 patients' data was collected from the Radiographic Department in that Hospital. All 46 patients' data in the form of Magnetic Resonance Image (MRI) analysis report are suspected suffering brain tumor. This system developed in order to assist the diagnosing process done by doctor when they referring the Magnetic Resonance Image (MRI) image of the patient and they try to make their impressions about the MRI features of each patient. With the help of this system, doctor can ease their diagnosing task by running this program and do some data training and then testing the data to get the better result. To ensure the performance of the system, some experiments are done by adjusting the network parameters of the back propagation training algorithm. So, neural network are able to capture the good and better result or detection even there are the presence of noise that other method normally fail and neural network becomes more popular as a technique to perform disease detection in medical diagnosing. 2006 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/987/1/TB_SURIYANTI%20PANAGEN%20CS%2006_5%20P01.pdf Panagen, Suriyanti (2006) The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science
spellingShingle	Electronic computers. Computer science Panagen, Suriyanti The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
description	This project is about detecting which type of extra axial brain tumor suffered by patient using the artificial intelligence approach. Artificial intelligence method that used in this system is artificial neural network. The neural network approach takes the concept of human brain. Knowledge appearance is compulsory for neural network in which it comes under the training phase before it recognize or detecting any pattern.A study about the artificial neural network has been done and back propagation training algorithm is suitable for this system development. A research about brain tumor also has. been done and all data needed for this system was collected from Hospital Universiti Sains Malaysia (HUSM) Kubang Kerian, Kelantan. About 46 patients' data was collected from the Radiographic Department in that Hospital. All 46 patients' data in the form of Magnetic Resonance Image (MRI) analysis report are suspected suffering brain tumor. This system developed in order to assist the diagnosing process done by doctor when they referring the Magnetic Resonance Image (MRI) image of the patient and they try to make their impressions about the MRI features of each patient. With the help of this system, doctor can ease their diagnosing task by running this program and do some data training and then testing the data to get the better result. To ensure the performance of the system, some experiments are done by adjusting the network parameters of the back propagation training algorithm. So, neural network are able to capture the good and better result or detection even there are the presence of noise that other method normally fail and neural network becomes more popular as a technique to perform disease detection in medical diagnosing.
format	Thesis
author	Panagen, Suriyanti
author_facet	Panagen, Suriyanti
author_sort	Panagen, Suriyanti
title	The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
title_short	The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
title_full	The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
title_fullStr	The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
title_full_unstemmed	The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
title_sort	development of extra axial brain tumor detection prototype using back propagation based neural network / suriyanti panagen
publishDate	2006
url	http://ir.uitm.edu.my/id/eprint/987/ http://ir.uitm.edu.my/id/eprint/987/1/TB_SURIYANTI%20PANAGEN%20CS%2006_5%20P01.pdf
first_indexed	2023-09-18T22:45:27Z
last_indexed	2023-09-18T22:45:27Z
_version_	1777417194315972608

The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen

Similar Items