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A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients
PURPOSE: To develop and further validate a deep learning signature-based nomogram from computed tomography (CT) images for prediction of the overall survival (OS) in resected non-small cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: A total of 1792 deep learning features were extracted from...
שמור ב:
| הוצא לאור ב: | Cancer Manag Res |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Dove
2021
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8019610/ https://ncbi.nlm.nih.gov/pubmed/33833572 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/CMAR.S299020 |
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