Radiomics based on enhanced CT for differentiating between pulmonary tuberculosis and pulmonary adenocarcinoma presenting as solid nodules or masses
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-022-04256-y.pdf
Reference48 articles.
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3. Burrill J, Williams CJ, Bain G, Conder G, Hine AL, Misra RR (2007) Tuberculosis: a radiologic review. Radiographics 27:1255–1273. https://doi.org/10.1148/rg.275065176
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5. Chen X, Feng B, Chen Y, Liu K, Li K, Duan X, Hao Y, Cui E, Liu Z, Zhang C, Long W, Liu X (2020a) A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules. Cancer Imaging 20:45. https://doi.org/10.1186/s40644-020-00320-3
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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. Radiomics nomogram for the prediction of Ki-67 index in advanced non-small cell lung cancer based on dual-phase enhanced computed tomography;Journal of Cancer Research and Clinical Oncology;2023-05-19
3. Advances in Imaging Histology in Pulmonary Tuberculosis;Advances in Clinical Medicine;2023
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