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Ensemble classification for predicting the malignancy level of pulmonary nodules on chest computed tomography images
Early identification and classification of pulmonary nodules are essential for improving the survival rates of individuals with lung cancer and are considered to be key requirements for computer-assisted diagnosis. To address this topic, the present study proposed a method for predicting the maligna...
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| Publicado no: | Oncol Lett |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
D.A. Spandidos
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7288754/ https://ncbi.nlm.nih.gov/pubmed/32537025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/ol.2020.11576 |
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