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Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning
Carlos A. Meza Ramireza School of Engineering, Faculty of Science and Technology, Lancaster University, Lancaster, UKView further author information
, Michael Greenopa School of Engineering, Faculty of Science and Technology, Lancaster University, Lancaster, UKView further author information
, Yasser A. Almoshawaha School of Engineering, Faculty of Science and Technology, Lancaster University, Lancaster, UK;b Mechanical Engineering Department, College of Engineering, Shaqra University, Dawadmi, Saudi Arabia
https://orcid.org/0000-0003-4366-0327View further author information
Pierre L. Martin Hirschc Gynaecological Oncology, Clinical Research Facility, Lancashire Teaching Hospitals, Preston, UKView further author information
& Ihtesham U. Rehmand School of Medicine, University of Central Lancashire, Preston, UKCorrespondence[email protected]
https://orcid.org/0000-0003-2502-7608View further author information
Pages 375-390
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Received 17 Jan 2023, Accepted 13 Apr 2023, Published online: 19 Apr 2023
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