Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier

To extract texture features of pulmonary nodules from three-dimensional views and to assess if predictive models of lung CT images from a three-dimensional texture feature could improve assessments conducted by radiologists. Clinical and CT imaging data for three dimensions (axial, coronal, and sagi...

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Détails bibliographiques
Publié dans:J Digit Imaging
Auteurs principaux: Gao, Ni, Tian, Sijia, Li, Xia, Huang, Jian, Wang, Jingjing, Chen, Sipeng, Ma, Yuan, Liu, Xiangtong, Guo, Xiuhua
Format: Artigo
Langue:Inglês
Publié: Springer International Publishing 2019
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Original Paper
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7165221/
https://ncbi.nlm.nih.gov/pubmed/31529236
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00238-8
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