Robust whole slide image analysis for cervical cancer screening using deep learning

Computer-assisted diagnosis is key for scaling up cervical cancer screening. However, current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to generalize for diverse staining and imaging, and show sub-optimal clinical-level verification. Here, we develop a progressi...

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Detalles Bibliográficos
Autores principales: Cheng, Shenghua, Liu, Sibo, Yu, Jingya, Rao, Gong, Xiao, Yuwei, Han, Wei, Zhu, Wenjie, Lv, Xiaohua, Li, Ning, Cai, Jing, Wang, Zehua, Feng, Xi, Yang, Fei, Geng, Xiebo, Ma, Jiabo, Li, Xu, Wei, Ziquan, Zhang, Xueying, Quan, Tingwei, Zeng, Shaoqun, Chen, Li, Hu, Junbo, Liu, Xiuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463673/
https://www.ncbi.nlm.nih.gov/pubmed/34561435
http://dx.doi.org/10.1038/s41467-021-25296-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463673/
https://www.ncbi.nlm.nih.gov/pubmed/34561435
http://dx.doi.org/10.1038/s41467-021-25296-x

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