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Method and system for morphology based mitosis identification and classification of digital images

机译:基于形态学的数字图像有丝分裂识别和分类的方法和系统

摘要

A method and system for morphology based mitosis identification and classification of digital images. Luminance parameters such as intensity, etc. from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are analyzed and corrected if necessary. Morphological parameters (e.g., size, elongation ratio, parallelism, boundary roughness, convex hull shape, etc.) from individual components within the biological sample are analyzed. A medical conclusion (e.g., type and count of mitotic cells) or a life science and biotechnology experiment conclusion is determined from the analyzed luminance and morphological parameters. The method and system may be used to develop applications for automatically obtaining a medical diagnosis (e.g., a carcinoma diagnosis).
机译:一种基于形态学的数字图像有丝分裂识别和分类的方法和系统。如果需要的话,分析并校正来自已施加了化合物(例如标记染料)的生物样品(例如组织细胞)的数字图像的亮度参数(例如强度等)。分析了生物样品中各个组分的形态学参数(例如尺寸,伸长率,平行度,边界粗糙度,凸壳形状等)。根据分析的亮度和形态参数确定医学结论(例如有丝分裂细胞的类型和数量)或生命科学和生物技术实验结论。该方法和系统可以用于开发用于自动获得医学诊断(例如,癌症诊断)的应用。

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