CT Radiomics-based machine learning approach for the invasiveness of pulmonary ground-glass nodules prediction
Objective: To develop and validate a machine learning model based on CT radiomics to improve the ability to differentiate pathological subtypes of pulmonary ground-glass nodules (GGN). Methods: A retrospective analysis was conducted on clinical data and radiological images from 392 patients with lun...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | European Journal of Radiology Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352047725000474 |
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