High-accuracy prediction of mutations in nine genes in lung adenocarcinoma via two-stage multi-instance learning on large-scale whole-slide images

High-accuracy prediction of mutations in nine genes in lung adenocarcinoma via two-stage multi-instance learning on large-scale whole-slide images

Abstract Background Lung cancer is widely recognized as a prevalent malignant neoplasm. Traditional genetic testing methods face limitations such as high costs and lengthy procedures. The prediction of clinically relevant genetic mutations via histopathological images could facilitate the expedited...

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Main Authors: Lingyu Zhao, Na Zhao, Ruiqi Zhong, Yiru Niu, Ziyi Chang, Peng Su, Zhihui Wang, Lifang Cui, Bei Wang, Huang Chen, Xiaowen Wang, Xiangbing Kong, Baolin Du, Fei Ren, Dingrong Zhong
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Diagnostic Pathology
Subjects:
Artificial intelligence
Lung adenocarcinoma
Gene mutation
Multiple instance learning
Self-supervised
Online Access:https://doi.org/10.1186/s13000-025-01663-w
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https://doi.org/10.1186/s13000-025-01663-w

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