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

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 methods can...

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Detalles Bibliográficos
Autores principales: Tan, Xiangyu, Li, Kexin, Zhang, Jiucheng, Wang, Wenzhe, Wu, Bian, Wu, Jian, Li, Xiaoping, Huang, Xiaoyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791865/
https://www.ncbi.nlm.nih.gov/pubmed/33413391
http://dx.doi.org/10.1186/s12935-020-01742-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791865/
https://www.ncbi.nlm.nih.gov/pubmed/33413391
http://dx.doi.org/10.1186/s12935-020-01742-6

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