Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning-Reference-Cited by-同舟云学术

Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning

Published:2023-04-19 Issue:5 Volume:23 Page:375-390
ISSN:1473-7159
Container-title:Expert Review of Molecular Diagnostics
language:en
Short-container-title:Expert Review of Molecular Diagnostics

Author:

Meza Ramirez Carlos A.¹,Greenop Michael¹,Almoshawah Yasser A.¹²^ORCID,Martin Hirsch Pierre L.³,Rehman Ihtesham U.⁴^ORCID

Affiliation:

1. School of Engineering, Faculty of Science and Technology, Lancaster University, Lancaster, UK

2. Mechanical Engineering Department, College of Engineering, Shaqra University, Dawadmi, Saudi Arabia

3. Gynaecological Oncology, Clinical Research Facility, Lancashire Teaching Hospitals, Preston, UK

4. School of Medicine, University of Central Lancashire, Preston, UK

Funder

funded

Publisher

Informa UK Limited

Subject

Genetics,Molecular Biology,Molecular Medicine,Pathology and Forensic Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/14737159.2023.2203816

Reference110 articles.

1. Cancer Research UK “Cervical cancer incidence statistics.” https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/cervical-cancer/incidence#heading-Two (accessed Oct. 14 2022).

2. World Health Organization “Cervical cancer.” https://www.who.int/news-room/fact-sheets/detail/cervical-cancer (accessed Oct. 14 2022).

3. Opportunities and challenges for introducing HPV testing for cervical cancer screening in sub-Saharan Africa

4. Challenges in Prevention and Care Delivery for Women with Cervical Cancer in Sub-Saharan Africa

5. Evidence-based improvisation: Facing the challenges of cervical cancer care in Uganda

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