Convolutional neural network based anatomical site identification for laryngoscopy quality control: A multicenter study-Reference-Cited by-同舟云学术

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Convolutional neural network based anatomical site identification for laryngoscopy quality control: A multicenter study

Published:2023-03 Issue:2 Volume:44 Page:103695
ISSN:0196-0709
Container-title:American Journal of Otolaryngology
language:en
Short-container-title:American Journal of Otolaryngology

Author:

Zhu Ji-Qing,Wang Mei-Ling,Li Ying,Zhang Wei,Li Li-Juan,Liu Lin,Zhang Yan,Han Cai-Juan,Tie Cheng-Wei,Wang Shi-Xu,Wang Gui-Qi,Ni Xiao-Guang

Funder

CAMS Innovation Fund for Medical Sciences

Publisher

Elsevier BV

Subject

Otorhinolaryngology

Reference27 articles.

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2. Head and neck cancer;Mody;Lancet,2021

3. Artificial intelligence in radiation oncology;Huynh;Nat Rev Clin Oncol,2020

4. Artificial intelligence in gastroenterology: a state-of-the-art review;Kröner;World J Gastroenterol,2021

5. Deep learning for automatic segmentation of Oral and oropharyngeal cancer using narrow band imaging: preliminary experience in a clinical perspective;Paderno;Front Oncol,2021

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