A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer

A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer

ObjectiveAccurate preoperative evaluation of rectal cancer lung metastases (RCLM) is critical for implementing precise medicine. While artificial intelligence (AI) methods have been successful in detecting liver and lymph node metastases using magnetic resonance (MR) images, research on lung metasta...

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Bibliographic Details
Main Authors: Yin Li, Shuang Li, Ruolin Xiao, Xi Li, Yongju Yi, Liangyou Zhang, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Wei Yang, Lin Yao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Oncology
Subjects:
rectal cancer
lung metastases
MRI
transformer
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1496820/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2025.1496820/full

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