Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification-Reference-Cited by-同舟云学术

Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification

Published:2024-09 Issue:9 Volume:43 Page:3137-3148
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Han Bowen¹^ORCID,Sun Luhao²,Li Chao²,Yu Zhiyong²,Jiang Wenzong³^ORCID,Liu Weifeng¹^ORCID,Tao Dapeng⁴^ORCID,Liu Baodi¹^ORCID

Affiliation:

1. College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China

2. Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, China

3. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China

4. School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China

Funder

Yunnan Province Research and Development of Key Technologies for Clinical Medicine of “Heart Brain Treatment” Project

Natural Science Foundation of Shandong Province

Fundamental Research Funds for Central Universities

China University of Petroleum

Major Scientific and Technological Projects of China National Petroleum Corporation

Creative Research Team of Young Scholars at Universities in Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10663877/10500847.pdf?arnumber=10500847

Reference54 articles.

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2. A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images

3. Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

4. Survey of deep learning in breast cancer image analysis