Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic studyResearch in context

Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic studyResearch in context

Summary: Background: The occult lymph node metastasis (LNM) of laryngeal squamous cell carcinoma (LSCC) affects the treatment and prognosis of patients. This study aimed to comprehensively compare the performance of the three-dimensional and two-dimensional deep learning models, radiomics model, an...

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Bibliographic Details
Main Authors: Wenlun Wang, Hui Liang, Zhouyi Zhang, Chenyang Xu, Dongmin Wei, Wenming Li, Ye Qian, Lihong Zhang, Jun Liu, Dapeng Lei
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:EClinicalMedicine
Subjects:
Deep learning
Artificial intelligence
Radiomics
Laryngeal cancer
Occult lymph node metastasis
Online Access:http://www.sciencedirect.com/science/article/pii/S258953702300562X

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