Improving the classification ability of network utilizing fusion technique in contrast‐enhanced spectral mammography-Reference-Cited by-同舟云学术

Improving the classification ability of network utilizing fusion technique in contrast‐enhanced spectral mammography

Published:2021-12-15 Issue:2 Volume:49 Page:966-977
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Song Jingqi¹²,Zheng Yuanjie¹²,Xu Chenxi¹²,Zou Zhenxing³,Ding Guocheng³,Huang Wenhui¹²

Affiliation:

1. School of Information Science and Engineering Shandong Normal University Jinan China

2. Key Lab of Intelligent Computing & Information Security in Universities of Shandong Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Institute of Biomedical Sciences Shandong Normal University Jinan China

3. Department of Radiology Yantai Yuhuangding Hospital Yantai China

Funder

National Natural Science Foundation of China

Taishan Scholar Project of Shandong Province

Natural Science Foundation of Shandong Province

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15390

Reference44 articles.

1. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study

2. Contrast enhanced mammography: Techniques, current results, and potential indications

3. SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis

4. Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

5. Dual-energy contrast-enhanced digital mammography: initial clinical results of a multireader, multicase study

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