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

机译:用于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,每年影响约30,000名美国人[1]。通过细胞病理学检查对肿瘤的诊断进行支持,所述切除组织的细胞病变斑点是斑点。计算机视觉系统

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