病理
乳腺癌
污渍
数据集
医学
集合(抽象数据类型)
癌症
染色
情报检索
计算生物学
计算机科学
人工智能
生物
内科学
程序设计语言
作者
Philippe Weitz,Masi Valkonen,Leslie Solorzano,Circe Carr,Kimmo Kartasalo,Constance Boissin,Sonja Koivukoski,Aino Kuusela,Dusan Rasic,Yanbo Feng,Sandra Sinius Pouplier,Abhinav Sharma,Kajsa Ledesma Eriksson,Leena Latonen,Anne‐Vibeke Lænkholm,Johan Hartman,Pekka Ruusuvuori,Mattias Rantalainen
标识
DOI:10.1038/s41597-023-02422-6
摘要
The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted into diagnostic guidelines and routine workflows to assess the status of several established biomarkers, including ER, PGR, HER2 and KI67. Biomarker assessment can also be facilitated by computational pathology image analysis methods, which have made numerous substantial advances recently, often based on publicly available whole slide image (WSI) data sets. However, the field is still considerably limited by the sparsity of public data sets. In particular, there are no large, high quality publicly available data sets with WSIs of matching IHC and H&E-stained tissue sections from the same tumour. Here, we publish the currently largest publicly available data set of WSIs of tissue sections from surgical resection specimens from female primary breast cancer patients with matched WSIs of corresponding H&E and IHC-stained tissue, consisting of 4,212 WSIs from 1,153 patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI