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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156962/
https://www.ncbi.nlm.nih.gov/pubmed/30253801
http://dx.doi.org/10.1186/s40880-018-0325-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156962/
https://www.ncbi.nlm.nih.gov/pubmed/30253801
http://dx.doi.org/10.1186/s40880-018-0325-9

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