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

Y He, Y Cheng, Z Huang, W Xu, R Hu… - Annals of …, 2021 - ncbi.nlm.nih.gov
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 …
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[HTML][HTML] A deep convolutional neural network-based method for laryngeal squamous cell carcinoma diagnosis

Y He, Y Cheng, Z Huang, W Xu, R Hu… - Annals of …, 2021 - atm.amegroups.org
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 …
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[PDF][PDF] A deep convolutional neural network-based method for laryngeal squamous cell carcinoma diagnosis

Y He, Y Cheng, Z Huang, W Xu, R Hu, L Cheng, S He… - 2021 - cdn.amegroups.cn
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 …

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

Y He, Y Cheng, Z Huang, W Xu… - Annals of …, 2021 - pubmed.ncbi.nlm.nih.gov
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 …

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

Y He, Y Cheng, Z Huang, W Xu, R Hu… - Annals of …, 2021 - europepmc.org
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 …

[引用][C] A deep convolutional neural network-based method for laryngeal squamous cell carcinoma diagnosis

Y He, Y Cheng, Z Huang, W Xu, R Hu… - Annals of …, 2021 - atm.amegroups.org
A deep convolutional neural network-based method for laryngeal squamous cell carcinoma
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