A deep convolutional neural network-based method for laryngeal squamous cell carcinoma diagnosis

BACKGROUND: Laryngeal squamous cell carcinoma (LSCC) is one of the most common tumors of the respiratory tract. Currently, the diagnosis of LSCC is mainly based on a laryngoscopy analysis and pathological findings. Deep-learning algorithms have been shown to provide accurate clinical diagnoses. METH...

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Detalles Bibliográficos
Autores principales: He, Yurong, Cheng, Yingduan, Huang, Zhigang, Xu, Wen, Hu, Rong, Cheng, Liyu, He, Shizhi, Yue, Changli, Qin, Gang, Wang, Yan, Zhong, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756237/
https://www.ncbi.nlm.nih.gov/pubmed/35071491
http://dx.doi.org/10.21037/atm-21-6458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756237/
https://www.ncbi.nlm.nih.gov/pubmed/35071491
http://dx.doi.org/10.21037/atm-21-6458

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