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A novel system for scoring of hormone receptors in breast cancer histopathology slides

机译:乳腺癌组织病理学幻灯片中激素受体评分的新系统

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Grading of breast cancer is often done by an expert pathologist based on their analysis of micro-level structural features of the cancerous tissue specimen as well as the level of presence of certain protein molecules in the specimen. The process of assessment of the level of presence of estrogen and progesterone receptors molecules is subjective by its very nature and therefore, causes large inter-expert and sometimes even intra-expert variability, potentially adding noise to the process of selecting the treatment regime for the patient. Quantification of immunohistochemical stains is critical for an objective assessment of breast cancer histopathology specimens. We present a fast, compact and inexpensive system for scoring the Estrogen and Progesterone hormone receptors in breast cancer histopathology slides using image analysis algorithm. We describe hardware and software issues in the construction of the system, and present a comparison of scores produced by our system to those produced by many expert pathologists.
机译:基于对癌组织标本的微观结构特征的分析以及样品中某些蛋白质分子的存在水平的微观结构特征,通常由专家病理学家进行乳腺癌的分级。评估雌激素和黄体酮受体分子的存在水平的过程是其本质的主观性,因此导致大型专家间,有时甚至专业的专业变异性,可能为选择治疗方案的过程增加噪声病人。免疫组织化学污渍的定量对于乳腺癌组织病理学标本的客观评估至关重要。我们使用图像分析算法展示了一种快速,紧凑且廉价的系统,用于评分乳腺癌组织病理学幻灯片的雌激素和孕酮激素受体。我们描述了系统建设中的硬件和软件问题,并表现了我们系统产生的分数与许多专家病理学家产生的分数的比较。

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