Computer-aided classification of mammographic masses using visually sensitive image features-Reference-Cited by-同舟云学术

Computer-aided classification of mammographic masses using visually sensitive image features

Author:

Wang Yunzhi¹,Aghaei Faranak¹,Zarafshani Ali¹,Qiu Yuchen¹,Qian Wei²³,Zheng Bin¹

Affiliation:

1. School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA

2. Department of Electrical and Computer Engineering, University of Texas, El Paso, TX, USA

3. Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Reference35 articles.

4. Breast tomosynthesis using the multiple projection algorithm adapted for stationary detectors;Malliori;J Xray Sci Technol,2016

5. Monto-Carlo simulation of slot-scanning digital mammography system for tomosynthesis;Kulkarni;J Xray Sci Technol,2016

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