Classification of solid pulmonary nodules using a machine-learning nomogram based on 18F-FDG PET/CT radiomics integrated clinicobiological features
Author:
Publisher
AME Publishing Company
Subject
General Medicine
Link
https://atm.amegroups.com/article/download/105063/pdf
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules;European Radiology Experimental;2024-01-17
2. Classification of Pulmonary Nodules in 2-[18F]FDG PET/CT Images with a 3D Convolutional Neural Network;Nuclear Medicine and Molecular Imaging;2023-08-30
3. Clinical application of 18F-fluorodeoxyglucose positron emission tomography/computed tomography radiomics-based machine learning analyses in the field of oncology;Japanese Journal of Radiology;2023-08-01
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