Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies

BACKGROUND: Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperplasia, the positive rate for malignancy identification during biopsy is low, thus leading to delayed or missed diagnosis for nasopharyngeal malignancies upon initial attempt. Here, we aimed to d...

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Detalhes bibliográficos
Publicado no:Cancer Commun (Lond)
Main Authors: Li, Chaofeng, Jing, Bingzhong, Ke, Liangru, Li, Bin, Xia, Weixiong, He, Caisheng, Qian, Chaonan, Zhao, Chong, Mai, Haiqiang, Chen, Mingyuan, Cao, Kajia, Mo, Haoyuan, Guo, Ling, Chen, Qiuyan, Tang, Linquan, Qiu, Wenze, Yu, Yahui, Liang, Hu, Huang, Xinjun, Liu, Guoying, Li, Wangzhong, Wang, Lin, Sun, Rui, Zou, Xiong, Guo, Shanshan, Huang, Peiyu, Luo, Donghua, Qiu, Fang, Wu, Yishan, Hua, Yijun, Liu, Kuiyuan, Lv, Shuhui, Miao, Jingjing, Xiang, Yanqun, Sun, Ying, Guo, Xiang, Lv, Xing
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2018
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6156962/
https://ncbi.nlm.nih.gov/pubmed/30253801
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40880-018-0325-9
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