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Investigators at Carnegie Mellon University, Department of Biomedical Engineering Publish New Data on Adenomas

机译:卡内基梅隆大学生物医学工程系的研究人员发布了腺瘤的新数据

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摘要

New investigation results, 'Detection and classification of thyroid follicular lesions based on nuclearnstructure from histopathology images,' are detailed in a study published in Cytometry Part A. Accordingnto recent research published in the journal Cytometry Part A, "Follicular lesions of the thyroid arentraditionally difficult and tedious challenges in diagnostic surgical pathology in part due to lack of obviousndiscriminatory cytological and microarchitectural features. We describe a computerized method to detectnand classify follicular adenoma of the thyroid, follicular carcinoma of the thyroid, and normal thyroidnbased on the nuclear chromatin distribution from digital images of tissue obtained by routine histologicalnmethods."
机译:新的研究结果,“基于组织病理学图像的核结构对甲状腺滤泡性病变的检测和分类”,在Cytometry A部分发表的研究中有详细介绍。部分由于缺乏明显的区分性细胞学和微结构特征而造成的诊断外科病理学上的乏味和挑战,我们描述了一种基于数字图像核染色质分布的计算机化方法,可以检测并分类甲状腺滤泡性腺瘤,甲状腺滤泡性癌和正常甲状腺常规组织学方法获得的组织的数量”。

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