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...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2025-12-01
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| Rangatū: | European Journal of Radiology Open |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S2352047725000474 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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