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首页> 外文会议>Conference on digital pathology >Computer Assisted Detection and Analysis of Tall Cell Variant Papillary Thyroid Carcinoma in Histological Images
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Computer Assisted Detection and Analysis of Tall Cell Variant Papillary Thyroid Carcinoma in Histological Images

机译：高细胞变异乳头状甲状腺癌的计算机辅助检测和组织学图像分析

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The number of new cases of thyroid cancer are dramatically increasing as incidences of this cancer have more than doubled since the early 1970s. Tall cell variant (TCV-PTC) papillary thyroid carcinoma is one type of thyroid cancer that is more aggressive and usually associated with higher local recurrence and distant metastasis. This variant can be identified through visual characteristics of cells in histological images. Thus, we created a fully automatic algorithm that is able to segment cells using a multi-stage approach. Our method learns the statistical characteristics of nuclei and cells during the segmentation process and utilizes this information for a more accurate result. Furthermore, we are able to analyze the detected regions and extract characteristic cell data that can be used to assist in clinical diagnosis.
机译：自从1970年代初以来，甲状腺癌的新发病例急剧增加，原因是这种癌症的发病率增加了一倍以上。高细胞变异型（TCV-PTC）甲状腺乳头状癌是一种甲状腺癌，其更具侵略性，通常与较高的局部复发率和远处转移相关。可以通过组织学图像中细胞的视觉特征来识别该变体。因此，我们创建了一种全自动算法，该算法能够使用多阶段方法对单元进行分段。我们的方法了解分割过程中细胞核和细胞的统计特征，并利用此信息获得更准确的结果。此外，我们能够分析检测到的区域并提取可用于协助临床诊断的特征性细胞数据。

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