Journal Article

·2021 OPEN ACCESS

A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability

Abdülkadir Albayrak YTU , Asli Unlu , Nurullah Çalık YTU , Abdulkerim Çapar , Gökhan Bilgin YTU , Behçet Uğur Töreyın , Bahar Müezzínoğlu , İlknur Türkmen , Lütfiye Durak-Ata YTU

Medical & Biological Engineering & Computing

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Grading (engineering) Cervical cancer Epithelial tissue Medicine Pathology Observer (physics) Artificial intelligence Cancer Radiology Computer science Epithelium Biology Internal medicine

Subject Areas

AI in cancer detection ·Artificial Intelligence ·Physical Sciences
Cervical Cancer and HPV Research ·Epidemiology ·Health Sciences
Radiomics and Machine Learning in Medical Imaging ·Radiology, Nuclear Medicine and Imaging ·Health Sciences

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Good health and well-being 75%

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