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Breast tumor diagnosis in digital mammograms

Xiang, Yang Lim and Kim, Gaik Tay and Huong, Audrey Kah Ching (2019) Breast tumor diagnosis in digital mammograms. In: Bioengineering principle and technology applications. Penerbit UTHM, pp. 123-137. ISBN 978-967-2306-26-9

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Breast cancer has been classified as the most common cancer in most part of the world [1]. Breast cancer is caused by the growth of the abnormal cells in the breast. Breast cancer not only develops in women but also on men. However, the incidents of breast cancer in women are more common than men. Breast cancer is dangerous and may take away ones life if there is no early detection and treatment are not done to remove the cancer cell present in the breast. Although the prevention methods for breast cancer may be unclear, it is found out that the earlier the detection and treatment conducted to the patients, the higher the survivability of the patients. Digital mammography is a specific type of breast imaging that uses low-dose x-rays to detect cancer early especially before women experience any symptoms [2]. The early signs of breast cancer can be detected in mammograms. Hence, digital mammograms have been classified as one of the best methods to detect breast cancer. In the studies [2] has shown that digital mammograms produce a better result than film mammograms in a group of young women, premenopausal and perimenopausal women, and women with dense breasts. 335 women were found to be infected with breast cancer in the test. However, there is also a limitation present in digital mammograms. High breast density can affect the performance of diagnosis in digital mammography as it increases the difficulty in finding abnormalities in a mammogram. Digital mammograms are only able to yield the best accuracy in the result for the women who are under the age of 50 and absent from menopause or undergoes menopause in a period of less than one year.

Item Type: Book Section
Subjects: R Medicine > RZ Other systems of medicine
Depositing User: Mr Abdul Rahim Mat Radzuan
Date Deposited: 29 Nov 2019 21:49
Last Modified: 29 Nov 2019 21:49
URI: http://eprints.uthm.edu.my/id/eprint/11963
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