Prediction of breast cancer through fast optimization techniques applied to machine learning-Reference-Cited by-同舟云学术

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Prediction of breast cancer through fast optimization techniques applied to machine learning

Published:2024-07-31 Issue: Volume: Page:1-29
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Cholamjiak Watcharaporn¹,Shehu Yekini²,Yao Jen-Chih³⁴

Affiliation:

1. School of Science, University of Phayao, Phayao, Thailand

2. School of Mathematical Sciences, Zhejiang Normal University, Jinhua, People's Republic of China

3. Center for General Education, China Medical University, Taichung, Taiwan

4. UNEC Mathematical Modeling and Optimization Research Center, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan

Funder

National Research Council of Thailand

Thailand Science Research and Innovation

University of Phayao

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2024.2385646

Reference52 articles.

1. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

2. Impact of artificial intelligence in breast cancer screening with mammography

3. An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

4. Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women

5. Breast Cancer Screening Using a Modified Inertial Projective Algorithms for Split Feasibility Problems

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