Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study

Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study

Abstract Background The incidence rates of cervical cancer in developing countries have been steeply increasing while the medical resources for prevention, detection, and treatment are still quite limited. Computer-based deep learning methods can achieve high-accuracy fast cancer screening. Such met...

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Bibliographic Details
Main Authors: Xiangyu Tan, Kexin Li, Jiucheng Zhang, Wenzhe Wang, Bian Wu, Jian Wu, Xiaoping Li, Xiaoyuan Huang
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Cancer Cell International
Subjects:
Cervical cancer
ThinPrep cytologic test (TCT)
Deep leaning
Convolutional neural network (CNN)
Online Access:https://doi.org/10.1186/s12935-020-01742-6

Internet

https://doi.org/10.1186/s12935-020-01742-6

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