深度学习将结直肠癌生物标记物预测从组织病理学图像转化。
Deep learning transforms colorectal cancer biomarker prediction from histopathology images.
发表日期：2023 Aug 23
作者：
Pekka Ruusuvuori, Mira Valkonen, Leena Latonen
来源：
BIOMEDICINE & PHARMACOTHERAPY
摘要：
人工智能（AI）在医学领域，包括个体化医疗的病理评估方面，正迅速引起关注。在《癌细胞》杂志的这一期中，Wagner等人展示了基于转换器的深度学习在预测CRC生物标志物状态上的准确性优势。该研究对于提高临床诊断的效率和准确性，指导精准肿瘤学的治疗决策具有重要意义。版权所有 © 2023 Elsevier Inc. 保留所有权利。
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 transformer-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.Copyright © 2023 Elsevier Inc. All rights reserved.