A Machine Learning Approach for Identification of Head and Neck Squamous Cell Carcinoma

机译：一种用于识别头颈部鳞状细胞癌的机器学习方法

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Squamous cell carcinoma is the most common type of head and neck cancer affecting about 30,000 Americans each year [1]. Diagnosis of tumor is backed by histopathologic examination of excised tissue in which lesion is speckled. Computer vision systems have

机译：鳞状细胞癌是最常见的头颈癌类型，每年影响约30,000名美国人[1]。切除有斑点的切除组织的组织病理学检查支持了肿瘤的诊断。计算机视觉系统具有

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《Bioinformatics and Biomedicine (BIBM), 2007 IEEE International Conference on》|2007年|P.29-34|共6页
会议地点 FremontCA
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Mete; M.; Xiaowei Xu; Chun-Yang Fan; Shafirstein; G.;
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cancer; cellular biophysics; learning (artificial intelligence); medical diagnostic computing; pattern clustering; tumours; virtual reality; automatic delineation; computer vision system; density-based clustering algorithm; head-neck cancer; machine learning; prolif;

机译：癌症;细胞生物物理学学习（人工智能）；医疗诊断计算；模式聚类；肿瘤虚拟现实;自动描绘；计算机视觉系统；基于密度的聚类算法；头颈癌；机器学习li;

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1. A machine learning approach for identification of head and neck squamous cell carcinoma (November, pg 29, 2007) [J] . Mete M., Xu X., Fan C. Y., Analytical and quantitative cytology and histology . 2014,第6期

机译：一种用于识别头颈部鳞状细胞癌的机器学习方法（2007年11月，第29页）
2. Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of "Junk Genes" in Biomedical Practice [J] . DNA and Cell Biology . 2020,第4期

机译：机器学习在开发新型五伪签名中的应用预测头颈鳞状细胞癌的预后：生物医学实践中“垃圾基因”的新方面
3. Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis [J] . Hu Ying, Guo Geyang, Li Junjun, Mathematical research letters: MRL . 2020,第2期

机译：基于机器学习的头颈鳞状细胞癌的诊断和预后价值筛选键LNCRNA和MRNA-LNCRNA共表达网络分析
4. A Machine Learning Approach for Identification of Head and Neck Squamous Cell Carcinoma [C] . Mete M., Xiaowei Xu, Chun-Yang Fan, IEEE International Conference on Bioinformatics and Biomedicine . 2007

机译：用于颈部鳞状细胞癌的机器学习方法
5. The combination of pan-ErbB tyrosine kinase inhibitor CI-1033 and lovastatin: A potential novel therapeutic approach in squamous cell carcinoma of the head and neck. [D] . Guimond, Tanya. 2011

机译：泛ErbB酪氨酸激酶抑制剂CI-1033和洛伐他汀的组合：头颈部鳞状细胞癌的一种潜在的新型治疗方法。
6. Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models [O] . Xiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, 2021

机译：头部和颈部鳞状细胞癌的射线特征的特异性变异及其对机器学习模型的影响
7. Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning [O] . Ling Ma, Martin Halicek, Ximing Zhou, 2020

机译：使用组织学图像和机器学习，高光谱微观成像用于自动检测头部和颈部鳞状细胞癌

A Machine Learning Approach for Identification of Head and Neck Squamous Cell Carcinoma

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