A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].

Barah payu dara adalah penyakit yang paling banyak meragut nyawa kaum hawa. Kadar sembuh dari penyakit ini boleh ditingkaykan jika ia dapat dikesan secara awal. Pengesahan awal penyakit ini dapat dilakukan melalui ujian mamografi yang terbukti keberkesanannya. Survival rates for breast cancer pa...

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Main Author: Ngah, Umi Kalthum
Format: Thesis
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.usm.my/8662/1/A_MAMMOGRAM_AND_BREAST.pdf
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Institution: Universiti Sains Malaysia
Language: English
id my.usm.eprints.8662
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spelling my.usm.eprints.8662 http://eprints.usm.my/8662/ A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ]. Ngah, Umi Kalthum RC254-282 Neoplasms. Tumors. Oncology (including Cancer) Barah payu dara adalah penyakit yang paling banyak meragut nyawa kaum hawa. Kadar sembuh dari penyakit ini boleh ditingkaykan jika ia dapat dikesan secara awal. Pengesahan awal penyakit ini dapat dilakukan melalui ujian mamografi yang terbukti keberkesanannya. Survival rates for breast cancer patients may be increased when the disease is detected in its earliest stage through mammography. A thorough assessment during breast screening would also include clinical, physical examination and ultrasound. The implementation of mass screening would result in increased caseloads for radiologists which would incur chances of improper diagnosis. 2007-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/8662/1/A_MAMMOGRAM_AND_BREAST.pdf Ngah, Umi Kalthum (2007) A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ]. PhD thesis, Universiti Sains Malaysia..
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic RC254-282 Neoplasms. Tumors. Oncology (including Cancer)
spellingShingle RC254-282 Neoplasms. Tumors. Oncology (including Cancer)
Ngah, Umi Kalthum
A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
description Barah payu dara adalah penyakit yang paling banyak meragut nyawa kaum hawa. Kadar sembuh dari penyakit ini boleh ditingkaykan jika ia dapat dikesan secara awal. Pengesahan awal penyakit ini dapat dilakukan melalui ujian mamografi yang terbukti keberkesanannya. Survival rates for breast cancer patients may be increased when the disease is detected in its earliest stage through mammography. A thorough assessment during breast screening would also include clinical, physical examination and ultrasound. The implementation of mass screening would result in increased caseloads for radiologists which would incur chances of improper diagnosis.
format Thesis
author Ngah, Umi Kalthum
author_facet Ngah, Umi Kalthum
author_sort Ngah, Umi Kalthum
title A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
title_short A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
title_full A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
title_fullStr A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
title_full_unstemmed A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ].
title_sort mammogram and breast ultrasound-based expert system with image processing features for breast diseases [ rc280.b8 u51 2007 f rb ].
publishDate 2007
url http://eprints.usm.my/8662/1/A_MAMMOGRAM_AND_BREAST.pdf
http://eprints.usm.my/8662/
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