Using Deep Neural Network Approach for Multiple-Class Assessment of Digital Mammography

According to the Health Promotion Administration in the Ministry of Health and Welfare statistics in Taiwan, over ten thousand women have breast cancer every year. Mammography is widely used to detect breast cancer. However, it is limited by the operator’s technique, the cooperation of the subjects,...

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Bibliographic Details
Published in:	Healthcare (Basel) Vol. 10; no. 12; p. 2382
Main Authors:	Hsu, Shih-Yen, Wang, Chi-Yuan, Kao, Yi-Kai, Liu, Kuo-Ying, Lin, Ming-Chia, Yeh, Li-Ren, Wang, Yi-Ming, Chen, Chih-I, Kao, Feng-Chen
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 27.11.2022 MDPI
Subjects:	Accuracy Artificial intelligence Asymmetry Breast cancer Calcification Classification Cysts Deep learning Design Health aspects Magnetic resonance imaging Mammography Methods Mortality Neural networks Patients Radiation Technology application Tumors Ultrasonic imaging Taiwan mammography classification deep neural network
ISSN:	2227-9032, 2227-9032
Online Access:	Get full text
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