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Colorectal Tumor Identification by Transferring Knowledge from Pan-cytokeratin to HE

机译:通过将知识从全细胞角蛋白转移到H&E来鉴定大肠肿瘤

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Tumor budding is a recently recognized, independent prognostic factor in colorectal cancer, but lacks astandardized assessment methodology. Although staining with pan-cytokeratin has been shown to mitigatethe issue of lack of reproducible, intra-observer agreement, usage of this antibody remains expensive andis limited in clinical practice. We propose an automated image analysis framework to take advantage of thevisual superiority of pan-cytokeratin and the routine use of H&E to detect and quantify tumor budding. Ourframework has demonstrated promising ability to identify tumor regions of colorectal slides – 92.0%accuracy, 94.5% sensitivity, and 85% specificity – across four independent datasets.
机译:肿瘤发芽是大肠癌中最近公认的独立预后因素,但缺乏 标准化的评估方法。尽管泛细胞角蛋白染色已显示可减轻 缺乏可重复的观察者内部协议的问题,使用该抗体仍然很昂贵,并且 在临床实践中受到限制。我们提出了一种自动图像分析框架,以利用 泛细胞角蛋白的视觉优势以及常规使用H&E检测和量化肿瘤出芽的能力。我们的 框架已经证明了鉴定大肠载玻片肿瘤区域的有前途的能力– 92.0% 跨四个独立的数据集的准确度,94.5%的敏感性和85%的特异性。

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