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Combination of Radiological and Gray Level Co-occurrence Matrix Textural Features Used to Distinguish Solitary Pulmonary Nodules by Computed Tomography

The objective of this study was to investigate the method of the combination of radiological and textural features for the differentiation of malignant from benign solitary pulmonary nodules by computed tomography. Features including 13 gray level co-occurrence matrix textural features and 12 radiol...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wu, Haifeng, Sun, Tao, Wang, Jingjing, Li, Xia, Wang, Wei, Huo, Da, Lv, Pingxin, He, Wen, Wang, Keyang, Guo, Xiuhua
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer US 2013
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3705005/
https://ncbi.nlm.nih.gov/pubmed/23325122
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-012-9547-6
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