A combined non-enhanced CT radiomics and clinical variable machine learning model for differentiating benign and malignant sub-centimeter pulmonary solid nodules.
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| Title: | A combined non-enhanced CT radiomics and clinical variable machine learning model for differentiating benign and malignant sub-centimeter pulmonary solid nodules. |
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| Authors: | Lin RY; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Zheng YN; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Lv FJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Fu BJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Li WJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Liang ZR; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Chu ZG; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. |
| Source: | Medical physics [Med Phys] 2023 May; Vol. 50 (5), pp. 2835-2843. Date of Electronic Publication: 2023 Mar 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2473-4209 |
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| DOI: | 10.1002/mp.16316 |
