A nomogram for predicting invasiveness of lung adenocarcinoma manifesting as pure ground-glass nodules: incorporating subjective CT signs and histogram parameters based on artificial intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-023-05262-4.pdf
Reference38 articles.
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3. Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, Allison T, Arnaout O, Abbosh C, Dunn IF, Mak RH, Tamimi RM et al (2019) Artificial intelligence in cancer imaging: clinical challenges and applications. CA Cancer J Clin 69(2):127–157. https://doi.org/10.3322/caac.21552
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5. Du W, He B, Luo X, Chen M (2022) Diagnostic value of artificial intelligence based on CT image in benign and malignant pulmonary nodules. J Oncol 2022:5818423. https://doi.org/10.1155/2022/5818423
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