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

机译:在乳腺癌组织病理学幻灯片中评分激素受体的新系统

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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:乳腺癌的分级通常由专家病理学家根据癌组织样本的微观结构特征以及样本中某些蛋白质分子的存在水平进行分析。评估雌激素和孕激素受体分子的存在水平的过程就其性质而言是主观的,因此会导致专家间差异很大,有时甚至是专家内差异,可能会给选择治疗方案的过程增加噪音。病人。免疫组化染色的量化对于乳腺癌组织病理学标本的客观评估至关重要。我们提出了一种快速,紧凑和便宜的系统,使用图像分析算法对乳腺癌组织病理学幻灯片中的雌激素和孕激素受体进行评分。我们描述了系统构建过程中的硬件和软件问题,并比较了我们的系统所产生的分数与许多专家病理学家所产生的分数。

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