Deep learning transforms colorectal cancer biomarker prediction from histopathology images

被引：4

作者：

Ruusuvuori, Pekka ^{[1
,2
]}

Valkonen, Mira ^{[2
]}

Latonen, Leena ^{[3
]}

机构：

[1] Univ Turku, Inst Biomed, Turku, Finland

[2] Tampere Univ, Fac Med & Hlth Technol, Tampere, Finland

[3] Univ Eastern Finland, Inst Biomed, Kuopio, Finland

来源：

CANCER CELL | 2023年 / 41卷 / 09期

关键词：

D O I：

10.1016/j.ccell.2023.08.006

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Artificial intelligence (AI) is rapidly gaining interest in medicine, including pathological assessments for personalized medicine. In this issue of Cancer Cell, Wagner et al. demonstrate superior accuracy of trans-former-based deep learning in predicting biomarker status in CRC. The work has implications for increased efficiency and accuracy in clinical diagnostics guiding treatment decisions in precision oncology.

引用

页码：1543 / 1545

页数：3

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