A similarity measure method combining location feature for mammogram retrieval

Author:

Wang Zhiqiong1,Xin Junchang2,Huang Yukun1,Li Chen1,Xu Ling1,Li Yang1,Zhang Hao3,Gu Huizi4,Qian Wei5

Affiliation:

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

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

3. Breast Disease and Reconstruction Center, Breast Cancer Key Lab of Dalian, the Second Hospital of Dalian Medical University, China

4. Department of Internal Neurology, the Second Hospital of Dalian Medical University, China

5. 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

Reference35 articles.

1. Content-based retrieval and analysis of mammographic masses;Alto;Journal of Electronic Imaging,2005

2. Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy;Bedo;Journal of Digital Imaging,2016

3. Modified repeated median filters;Bernholt;Statistics and Computing,2006

4. A computational approach to edge detection;Canny;IEEE Transactions on Pattern Analysis and Machine Intelligence,1986

5. Texture feature extraction using gray level statistical matrix for content- based mammogram retrieval;Chandy;Multimedia Tools and Applications,2014

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2. Breast Cancer Diagnosis With Mammography;Research Anthology on Medical Informatics in Breast and Cervical Cancer;2022-07-01

3. EMD Based Binary Classification of Mammograms with Novel Leader Selection Technique;2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC);2021-11-26

4. Breast Cancer Diagnosis With Mammography;Biomedical Computing for Breast Cancer Detection and Diagnosis;2021

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