首页/数据集/Selected radiomic features after Lasso regression in the type-1 radiomics model.

Selected radiomic features after Lasso regression in the type-1 radiomics model.

NIAID Data Ecosystem2026-05-01 收录

数据链接：

https://figshare.com/articles/dataset/Selected_radiomic_features_after_Lasso_regression_in_the_type-1_radiomics_model_/23270327 数据链接链接失效反馈

官方服务：

资源简介：

Selected radiomic features after Lasso regression in the type-1 radiomics model.

应用场景：

创建时间：

2023-05-31

肺结节诊断

放射组学特征

ObjectiveTo evaluate the performance of 2D and 3D radiomics features with different machine learning approaches to classify SPLs based on magnetic resonance(MR) T2 weighted imaging (T2WI). Material an

NIAID Data Ecosystem140

Additional file 4 of The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma

放射组学特征

肝内胆管癌预后

Additional file 4: Supplement Figure 1 and 2. Radiomics feature selection using a parametric method, the LASSO logistic regression.

NIAID Data Ecosystem50

Additional file 22 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

放射组学特征

EGFR突变预测

Additional file 22. Results of radiomic feature selection by mutual information and Scale algorithm without center -scaling in PET images.

Figshare2023-02-21 更新30

PHE-SICH-CT-IDS

脑出血影像分析

放射组学特征

This publicly available dataset namely PHE-SICH-CT-IDS, which is constructed 120 CT scans of patients with SICH. PHE-SICH-CT-IDS contains 3,511 CT images of SICH occurring in the basal ganglia region,

Figshare2023-08-27 更新100

List of stable radiomic features not statistically different if extracted using one segment layer at a time or considering the whole tumour volume in CT images of the oesophagus.

放射组学特征

食管癌CT影像分析

In bold, common features among three cohorts considered that showed to be stable and dimensionality and contrast agent independent. GLCM, grey level co-occurrence matrix; GLRLM, grey level run length

NIAID Data Ecosystem40

Selected radiomic features after Lasso regression in the type-1 radiomics model.

资源简介：

相关数据集