A similarity measure method fusing deep feature for mammogram retrieval

Author:

Wang Zhiqiong123,Xin Junchang4,Huang Yukun5,Xu Ling1,Ren Jie1,Zhang Hao6,Qian Wei7,Zhang Xia2,Liu Jiren2

Affiliation:

1. College of Medicine and Biological Information Engineering, Northeastern University, China

2. Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., China

3. Acoustics Science and Technology Laboratory, Harbin Engineering University, China

4. School of Computer Science and Engineering, Key Laboratory of Big Data Management and Analytics (Liaoning), Northeastern University, China

5. College of Information Science and Engineering, Northeastern University, China

6. Department of Breast Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, China

7. College of Engineering, University of Texas at El Paso, USA

Publisher

IOS Press

Subject

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

Reference26 articles.

1. Automated retrieval of ct images of liver lesions on the basis of image similarity: Method and preliminary results;Napel;Radiology,2010

2. Global cancer statistics: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J Clin,2018

3. State of the art of current modalities for the diagnosis of breast lesions;Maggio;European Journal of Nuclear Medicine & Molecular Imaging,2004

4. Image-detected breast cancer: State of the art diagnosis and treatment;Silverstein;Journal of the American College of Surgeons,2001

5. A similarity measure method combining location feature for mammogram retrieval;Wang;Journal of X-Ray Science and Technology,2018

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