2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma

2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma

Abstract Background Occult lymph node metastasis (OLNM) refers to lymph node involvement that remains undetectable by conventional imaging techniques, posing a significant challenge in the accurate staging of lung adenocarcinoma. This study aims to investigate the potential of combining 2.5D deep le...

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Bibliographic Details
Main Authors: Xiaoxin Huang, Xiaoxiao Huang, Kui Wang, Haosheng Bai, Xiuxian Lu, Guanqiao Jin
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
2.5D
Deep learning
Radiomics
Multi-instance learning
Machine learning
Lung adenocarcinoma
Online Access:https://doi.org/10.1186/s12880-025-01759-1
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https://doi.org/10.1186/s12880-025-01759-1

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