Enhancement of Breast Mammography to Rapid Screen Abnormalities Using 2D Spatial Fractional‐Order Feature Extraction and Multilayer Machine Vision Classifier-Reference-Cited by-同舟云学术

Enhancement of Breast Mammography to Rapid Screen Abnormalities Using 2D Spatial Fractional‐Order Feature Extraction and Multilayer Machine Vision Classifier

Published:2021-10-04 Issue:1 Volume:17 Page:132-147
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Chen Pi‐Yun¹,Wu Jian‐Xing¹,Lin Chia‐Hung¹,Hsu Jin‐Chyr²,Pai Neng‐Sheng¹

Affiliation:

1. Department of Electrical Engineering National Chin‐Yi University of Technology Taichung City 41170 Taiwan

2. Taichung Hospital of the Ministry of Health and Welfare Taichung City 403 Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23495

Reference40 articles.

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3. Enhancement of ARFI-VTI Elastography Images in Order to Preliminary Rapid Screening of Benign and Malignant Breast Tumors Using Multilayer Fractional-Order Machine Vision Classifier

4. Mayo Clinic Breast cancer 1998–2020 https://www.mayoclinic.org/diseases‐conditions/breast‐cancer/diagnosis‐treatment/drc‐20352475.

5. Role of dynamic contrast enhanced MRI in evaluation of post-operative breast lesions

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