AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation

AI-assisted system improves the work efficiency of cytologists via excluding cytology-negative slides and accelerating the slide interpretation

Given the shortage of cytologists, women in low-resource regions had inequitable access to cervical cytology which plays an pivotal role in cervical cancer screening. Emerging studies indicated the potential of AI-assisted system in promoting the implementation of cytology in resource-limited settin...

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Bibliographic Details
Main Authors: Hui Du, Wenkui Dai, Qian Zhou, Changzhong Li, Shuai Cheng Li, Chun Wang, Jinlong Tang, Xiangchen Wu, Ruifang Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Oncology
Subjects:
HPV
cervical cancer screening
artificial intelligence
slide interpretation
low-resource areas
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1290112/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1290112/full

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