Stacked CT radiomics, deep learning and clinical feature models for differentiating benign and malignant solitary pulmonary nodules

Abstract Solitary pulmonary nodules (SPNs) are common incidental findings on high-resolution CT, and differentiating benign from malignant lesions still depends mainly on invasive biopsy, highlighting the need for accurate non-invasive tools. In this retrospective multicenter study we analyzed 201 S...

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Xehetasun bibliografikoak

Egile Nagusiak:	Jie Zong, Biyun Jiang, Haiyan Li, Zhiling Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2026-04-01
Saila:	Scientific Reports
Gaiak:	Solitary pulmonary nodule Probability stacking Radiomics Deep learning Serological biomarkers
Sarrera elektronikoa:	https://doi.org/10.1038/s41598-026-49720-8
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