Table S1. Selected features for CT image in different phases. Table S2. Detailed information of the selected features in radiomics models. Table S3. Radiomics signature for CT image in different phases. (DOC 57 kb
Additional file 1: Supplementary methods A1-A13. Figures S1-S8. Tables S1-S11. Methods A1. Inclusion...
Raw data of the patients. Patient characteristics and follow-up data exists. (XLSX 16Â kb
Supplementary Material 1: Table S1. Baseline characteristics of patients with different baseline AFP...
Detailed introduction of calibration curves and decision curves, category-free Net Reclassification ...
Table S1. MRI sequences and parameters. “Detailed MR imaging sequences and parameters are provided i...
Figure S2. The process of radiomics and the use of radioimics in decision support. (a) The acquisiti...
Raw data of the treated lesions. Lesion characteristics and follow-up data exists. (XLSX 15Â kb
Abstract Background Predicting early recurrence (ER) after radical therapy for HCC patients is criti...
Table S1. Factors associated with the local tumor control after hypofractionated radiotherapy. (DOCX...
ObjectivesTo explore the usefulness of spleen radiomics features based on contrast-enhanced computed...
Background: Radiomics has emerged as a new approach that can help identify imaging information assoc...
Additional file 1: Supplementary Table 1. CECT quadriphasic liver protocol (Aquilion 64). Supplement...
Results of CTC detection at different time-points in 12 HCC patients undergoing curative liver resec...
Baseline characteristics according to treatment after CCRT. Table S2. Baseline characteristics accor...
Case studies representing each of the scenarios discussed in the manuscript with regards to lesional...
Additional file 1: Supplementary methods A1-A13. Figures S1-S8. Tables S1-S11. Methods A1. Inclusion...
Raw data of the patients. Patient characteristics and follow-up data exists. (XLSX 16Â kb
Supplementary Material 1: Table S1. Baseline characteristics of patients with different baseline AFP...
Detailed introduction of calibration curves and decision curves, category-free Net Reclassification ...
Table S1. MRI sequences and parameters. “Detailed MR imaging sequences and parameters are provided i...
Figure S2. The process of radiomics and the use of radioimics in decision support. (a) The acquisiti...
Raw data of the treated lesions. Lesion characteristics and follow-up data exists. (XLSX 15Â kb
Abstract Background Predicting early recurrence (ER) after radical therapy for HCC patients is criti...
Table S1. Factors associated with the local tumor control after hypofractionated radiotherapy. (DOCX...
ObjectivesTo explore the usefulness of spleen radiomics features based on contrast-enhanced computed...
Background: Radiomics has emerged as a new approach that can help identify imaging information assoc...
Additional file 1: Supplementary Table 1. CECT quadriphasic liver protocol (Aquilion 64). Supplement...
Results of CTC detection at different time-points in 12 HCC patients undergoing curative liver resec...
Baseline characteristics according to treatment after CCRT. Table S2. Baseline characteristics accor...
Case studies representing each of the scenarios discussed in the manuscript with regards to lesional...
Additional file 1: Supplementary methods A1-A13. Figures S1-S8. Tables S1-S11. Methods A1. Inclusion...
Raw data of the patients. Patient characteristics and follow-up data exists. (XLSX 16Â kb
Supplementary Material 1: Table S1. Baseline characteristics of patients with different baseline AFP...