Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia
Abstract Cervical cancer, the fourth most common cancer among women worldwide, often proves fatal and stems from precursor lesions caused by high-risk human papillomavirus (HR-HPV) infection. Accurate and early diagnosis is crucial for effective treatment. Current screening methods, such as the Pap...
Main Authors: | Yung-Taek Ouh, Tae Jin Kim, Woong Ju, Sang Wun Kim, Seob Jeon, Soo-Nyung Kim, Kwang Gi Kim, Jae-Kwan Lee |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-51880-4 |
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