A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study

BACKGROUND: The overall prognosis of oral cancer remains poor because over half of patients are diagnosed at advanced-stages. Previously reported screening and earlier detection methods for oral cancer still largely rely on health workers’ clinical experience and as yet there is no established metho...

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Detalles Bibliográficos
Autores principales: Fu, Qiuyun, Chen, Yehansen, Li, Zhihang, Jing, Qianyan, Hu, Chuanyu, Liu, Han, Bao, Jiahao, Hong, Yuming, Shi, Ting, Li, Kaixiong, Zou, Haixiao, Song, Yong, Wang, Hengkun, Wang, Xiqian, Wang, Yufan, Liu, Jianying, Liu, Hui, Chen, Sulin, Chen, Ruibin, Zhang, Man, Zhao, Jingjing, Xiang, Junbo, Liu, Bing, Jia, Jun, Wu, Hanjiang, Zhao, Yifang, Wan, Lin, Xiong, Xuepeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599313/
https://www.ncbi.nlm.nih.gov/pubmed/33150326
http://dx.doi.org/10.1016/j.eclinm.2020.100558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599313/
https://www.ncbi.nlm.nih.gov/pubmed/33150326
http://dx.doi.org/10.1016/j.eclinm.2020.100558

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