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Additional file 14 of Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status
Additional file 14. Results of radiomic feature selection by t-test and Scale algorithm without center -scaling in PET images.
Figshare2023-02-21 更新300
DataSheet_1_Intratumoral and Peritumoral Radiomics of Contrast-Enhanced CT for Prediction of Disease-Free Survival and Chemotherapy Response in Stage II/III Gastric Cancer.pdf
BackgroundWe evaluated the ability of radiomics based on intratumoral and peritumoral regions on preoperative gastric cancer (GC) contrast-enhanced CT imaging to predict disease-free survival (DFS) an
NIAID Data Ecosystem130
Expression data from prostate cancer and benign prostate glands
Prostate cancer is a leading cause of cancer death amongst males. The main clinical dilemma in treating prostate cancer is the high number of indolent cases that confer a significant risk of over diag
NIAID Data Ecosystem80
Predicting Relapse in Favorable Histology Wilms Tumor Using Gene Expression. Homo sapiens
The gene expression patterns of favorable histology Wilms tumors (FHWT) that relapsed were compared with those that did not relapse using oligonucleotide arrays Description: 250 FHWT of all stages enr
NIAID Data Ecosystem170
Detail vessel enhancement features of each renal tumor group.
Detail vessel enhancement features of each renal tumor group.
NIAID Data Ecosystem110
