Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Automatic classification of cervical cancer from cytological images by using convolutional neural network
por: Wu, Miao, et al.
Publicado: (2018) -
Automatic contouring system for cervical cancer using convolutional neural networks
por: Rhee, Dong Joo, et al.
Publicado: (2020) -
A descriptive analysis of health practices, barriers to healthcare and the unmet need for cervical cancer screening in the Lower Napo River region of the Peruvian Amazon
por: Collins, Joseph H, et al.
Publicado: (2019) -
Automatic Detection and Classification of Focal Liver Lesions Based on Deep Convolutional Neural Networks: A Preliminary Study
por: Zhou, Jiarong, et al.
Publicado: (2021) -
Risk factors for cervical cancer in women in China: A
meta-model
por: Aballéa, Samuel, et al.
Publicado: (2020)