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Convolutional Neural Network for Classification of Oropharynx Cancer with Video Nasopharyngolaryngoscopy.

作者信息

Gifford Ryan, Reid Abigail, Jhawar Sachin R, VanKoevering Kyle, Krening Samantha

机构信息

Department of Integrated Systems Engineering, Ohio State University, Columbus, OH, USA.

School of Medicine, Creighton University, Omaha, NE, USA.

出版信息

J Otolaryngol Head Neck Surg. 2025 Jan-Dec;54:19160216251326590. doi: 10.1177/19160216251326590. Epub 2025 Mar 18.

DOI:10.1177/19160216251326590
PMID:40099484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11915290/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d8/11915290/41126a87eb42/10.1177_19160216251326590-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d8/11915290/9b5080492692/10.1177_19160216251326590-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d8/11915290/41126a87eb42/10.1177_19160216251326590-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d8/11915290/9b5080492692/10.1177_19160216251326590-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18d8/11915290/41126a87eb42/10.1177_19160216251326590-fig2.jpg

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本文引用的文献

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Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.基于人工智能的头颈部癌症诊断方法：综述。
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Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology.
基于超像素的条件随机场（SuperCRF）：融合全局和局部上下文以增强黑色素瘤组织病理学中的深度学习
Front Oncol. 2019 Oct 11;9:1045. doi: 10.3389/fonc.2019.01045. eCollection 2019.
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Artificial Intelligence in Lung Cancer Pathology Image Analysis.人工智能在肺癌病理图像分析中的应用
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Nat Rev Clin Oncol. 2019 Nov;16(11):703-715. doi: 10.1038/s41571-019-0252-y. Epub 2019 Aug 9.
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Laryngoscope. 2018 Nov;128(11):2514-2520. doi: 10.1002/lary.27159. Epub 2018 Mar 25.
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JAMA. 2017 Dec 12;318(22):2199-2210. doi: 10.1001/jama.2017.14585.
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.基于局部敏感的深度学习在常规结肠癌组织学图像中细胞核检测与分类的应用。
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