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May 24, 2024BMC Medical ImagingOpen Access

A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma

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HXHui XieCSChaoling SongJLJian Lei

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Cite This Study

Xie et al. (2024) studied this question.

synapsesocial.com/papers/68e68856b6db6435876104cahttps://doi.org/10.1186/s12880-024-01300-w
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An advanced nomogram model using deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma2024 · 12 citations
  2. 2A comparison of machine learning methods for radiomics modeling in prediction of occult lymph node metastasis in clinical stage IA lung adenocarcinoma patients2024 · 7 citations
  3. 3Combining computed tomography radiomics and clinical features to predict lymph node metastasis in patients with lung cancer2026
  4. 4Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma2025
  5. 5Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer2024