乳腺病理学中的人工智能——新时代的曙光。
Artificial intelligence in breast pathology - dawn of a new era.
作者信息
Badve Sunil S
机构信息
Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Emory University Winship Cancer Institute, Atlanta, GA, USA.
出版信息
NPJ Breast Cancer. 2023 Jan 31;9(1):5. doi: 10.1038/s41523-023-00507-4.
Abstract
Artificial intelligence methods are been increasingly used for analysis of pathology slides. In this issue of the Journal, Sandbank et al. describe the validation and utility of a robust second reader system that can distinguish in situ and standfirst invasive carcinomas from non-neoplastic lesions of the breast.
摘要
人工智能方法越来越多地用于病理切片分析。在本期《杂志》中，桑德班克等人描述了一种强大的二次阅片系统的验证及效用，该系统能够区分乳腺原位癌和早期浸润性癌与非肿瘤性病变。
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