Results 171 to 180 of about 455,909 (199)

Predicting dynamic changes of Ki-67 in breast cancer after neoadjuvant therapy based on multi-phase DCE-MRI delta-radiomics. [PDF]

Front Oncol
Zhang X, Zhao H, Zhang H.
europepmc   +1 more source

A novel deep learning and radiomics approach based on DCE-MRI for predicting the P53 mutation status in hepatocellular carcinoma. [PDF]

J Gastrointest Oncol
Weng J, He Y, Zeng Q, Yao D, Zhou H, Li B, Yang C, Yang B.   +7 more
europepmc   +1 more source

Predicting response to neoadjuvant therapy in breast cancer using longitudinal DCE-MRI deep learning integrated with tumor microenvironment data. [PDF]

Front Immunol
Yan L, Huang X, Liu L, Wu A, Luo Y, Li H, Yi S, Yu T, Zeng Q.   +8 more
europepmc   +1 more source

Domain Shift in Breast DCE-MRI Tumor Segmentation: A Balanced LoCoCV Study on the MAMA-MIA Dataset. [PDF]

Diagnostics (Basel)
Alanazi M, Alsharif B.
europepmc   +1 more source

Stratified prediction of HER2 status in breast cancer by integrating intratumoral and peritumoral radiomics from DCE-MRI. [PDF]

BMC Cancer
Gao Y, Gong J, Yang Y, Luo Y, Liu W, Zeng Z.   +5 more
europepmc   +1 more source

Construction and validation of a pretreatment DCE-MRI-based radiomics prediction model for axillary pathologic response after neoadjuvant therapy in node-positive breast cancer. [PDF]

Gland Surg
Li Y, Xue Y, Li J, Wang J, Yue C, Liu T, Hao Y, Chang Y, Lu H.   +8 more
europepmc   +1 more source

Correlation between quantitative DCE-MRI and pathologic complete response in patients with invasive ductal carcinoma undergoing neoadjuvant systemic therapy. [PDF]

Medicine (Baltimore)
Wang X, Xiao X, Yang A, Zeng S, Chen W, Chen Y, Cui S, Huang Z, Zeng Y, Huang X.   +9 more
europepmc   +1 more source