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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
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 |
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