CT影像组学在孤立性肺结节中的研究进展(5)
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(收稿日期:2019-06-09) (本文編辑:程旭然), 百拇医药(林天武 吴佩琪)
[15] Wang Z,Xin J,Sun P,et al.Improved lung nodule diagnosis accuracy using lung CT images with uncertain class[J].Comput Methods Programs Biomed,2018,162:197-209.
[16] Causey J L,Zhang J,Ma S,et al.Highly accurate model for prediction of lung nodule malignancy with CT scans[J].Sci Rep,2018,8(1):9286.
[17] Li Q,Fan L,Cao E T,et al.Quantitative CT analysis of pulmonary pure ground-glass nodule predicts histological invasiveness[J].Eur J Radiol,2017,89:67-71.
[18] Yagi T,Yamazaki M,Ohashi R,et al.HRCT texture analysis for pure or part-solid ground-glass nodules:distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma[J].Jpn J Radiol,2018,36(2):113-121.
[19] Mei X,Wang R,Yang W,et al.Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forest[J].J Thorac Dis,2018,10(1):458-463.
[20] Zhao W,Yang J,Sun Y,et al.3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas[J].Cancer Res,2018,78(24):6881-6889.
(收稿日期:2019-06-09) (本文編辑:程旭然), 百拇医药(林天武 吴佩琪)