论文标题
基于多个病理学家注释，使用监督学习的HER2乳腺癌活检的金标准
Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations
论文作者
论文摘要
乳腺癌是世界各地女性最常见的癌症之一。为了诊断，病理学家使用免疫组织化学评估生物标志物，例如通过活检提取的组织。通过显微镜检查，该评估估计了膜细胞染色的强度和完整性，并将样品得分为0、1+，2+或3+：一个主观的决定，取决于病理学家的解释。本文介绍了三位病理学家的注释的初步数据分析，这些病理学家使用20倍放大倍数获得的相同样本集，包括$ 1,252 $非重叠的活检贴剂。根据Fleiss的Kappa系数，我们分别评估了达到实质性和中等一致性的专家内和专家间的变异性，这是迈向一代HER2乳腺癌活检金标准的前阶段，该阶段使用多个病理学家注释的监督学习。
Breast cancer is one of the most common cancer in women around the world. For diagnosis, pathologists evaluate biomarkers such as HER2 protein using immunohistochemistry over tissue extracted by a biopsy. Through microscopic inspection, this assessment estimates the intensity and integrity of the membrane cells' staining and scores the sample as 0, 1+, 2+, or 3+: a subjective decision that depends on the interpretation of the pathologist. This paper presents the preliminary data analysis of the annotations of three pathologists over the same set of samples obtained using 20x magnification and including $1,252$ non-overlapping biopsy patches. We evaluate the intra- and inter-expert variability achieving substantial and moderate agreement, respectively, according to Fleiss' Kappa coefficient, as a previous stage towards a generation of a HER2 breast cancer biopsy gold-standard using supervised learning from multiple pathologist annotations.
