Graph deep learning detects contextual prognostic biomarkers from whole-slide images

被引：1

作者：

Kwon, Sunghoon ^{[1
]}

Park, Jeong Hwan ^{[2
]}

机构：

[1] Seoul Natl Univ, Seoul, South Korea

[2] Seoul Natl Univ, Coll Med, Seoul, South Korea

来源：

NATURE BIOMEDICAL ENGINEERING | 2022年 / 6卷 / 12期

关键词：

D O I：

10.1038/s41551-022-00927-w

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Graph deep learning can be used to detect contextual pathological features within a complex tumour microenvironment. We have shown the use of graph deep learning for predicting the prognosis of patients with tumours, and use it to identify additional contextual prognostic biomarkers for pathologists.

引用

页码：1326 / 1327

页数：2

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