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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Podrobná bibliografie
Hlavní autoři: Yin Li, Shuang Li, Ruolin Xiao, Xi Li, Yongju Yi, Liangyou Zhang, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Wei Yang, Lin Yao
Médium: Článek
Jazyk:English
Vydáno: Frontiers Media S.A. 2025-02-01
Edice:Frontiers in Oncology
Témata:
rectal cancer
lung metastases
MRI
transformer
deep learning
On-line přístup: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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