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

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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主要作者: Ngah, Umi Kalthum
格式: Thesis
语言:English
出版: 2007
主题:
RC254-282 Neoplasms
Tumors
Oncology (including Cancer)
在线阅读:http://eprints.usm.my/8662/1/A_MAMMOGRAM_AND_BREAST.pdf
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spelling my-usm-ep.86622017-05-15T04:43:32Z A Mammogram And Breast Ultrasound-Based Expert System With Image Processing Features For Breast Diseases [ RC280.B8 U51 2007 f rb ]. 2007-06 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 http://eprints.usm.my/8662/ http://eprints.usm.my/8662/1/A_MAMMOGRAM_AND_BREAST.pdf application/pdf en public phd doctoral Universiti Sains Malaysia. Pusat Pengajian Sains Perubatan
institution Universiti Sains Malaysia
collection USM Institutional Repository
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
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
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 ].
granting_institution Universiti Sains Malaysia.
granting_department Pusat Pengajian Sains Perubatan
publishDate 2007
url http://eprints.usm.my/8662/1/A_MAMMOGRAM_AND_BREAST.pdf
_version_ 1747819718871351296

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