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新型非实性肺小结节恶性概率预测模型的构建与验证
BACKGROUND AND OBJECTIVE: Mathematical predictive model is an effective method for preliminarily identifying the malignant pulmonary nodules. As the epidemiological trend of lung cancer changes, the detection rate of ground-glass-opacity (GGO) like early stage lung cancer is increasing rapidly, time...
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| Pubblicato in: | Zhongguo Fei Ai Za Zhi |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
中国肺癌杂志编辑部
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6348162/ https://ncbi.nlm.nih.gov/pubmed/30674390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3779/j.issn.1009-3419.2019.01.06 |
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