Lasso是一种筛选变量的方法 ，这种方法来源于自变量个数远大于样本量个数的数据，例如基因位点数据，每个人测序后位点可能上万上亿个，但是测序的人数可能几百例，所以传统Cox回归的前进法、后退法、Stepwies法，Wald等均不在适用。 一般是先用LASSO筛选出变量，之后用筛选出的变量建立COX回归 Huang Y, et al. Rad ...
计算与测量高b值（1400 s /mm²）前列腺扩散加权MR图像的可行性研究 Feasibility study of computed vs measured high b-value (1400 s/mm²) diffusion-weighted MR images of the prostate Abstract AIM: To evaluate the impact of computed b = 1400 s /mm( 2 ) (C-b1400) vs ...
计算DWI（计算机化DWI）可提供更好的实质背景抑制，并提高可疑病变的 对比度 MRI for prostate cancer: can computed high b-value DWI replace native acquisitions? Objective To compare computed high b-value diffusion-weighted images (c-DWI) derived from low b-value DWI images and acqui ...
A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival . Abstract OBJECTIVES: To construct a radiomics nomogram for the individualized estimation ...
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