Results 221 to 230 of about 82,903 (262)

An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade. [PDF]

Sci Rep
Li N, Liu X, Xia X, Liu X, Wang G, Duan C.   +5 more
europepmc   +1 more source

Multimodal ultrasound-based radiomics and deep learning for differential diagnosis of O-RADS 4-5 adnexal masses. [PDF]

Cancer Imaging
Zeng S, Jia H, Zhang H, Feng X, Dong M, Lin L, Wang X, Yang H.   +7 more
europepmc   +1 more source

Development and validation of a multi-omics hemorrhagic transformation model based on hyperattenuated imaging markers following mechanical thrombectomy. [PDF]

Sci Rep
Jiang L, Zhu G, Wang Y, Hong J, Fu J, Hu J, Xiao S, Chu J, Hu S, Xiao W.   +9 more
europepmc   +1 more source

CT-radiomics combined with inflammatory indicators for prediction of progression free survival of resectable esophageal squamous cell carcinoma. [PDF]

Sci Rep
Wang Y, Bai G, Huang M, Chen W.
europepmc   +1 more source

Research on the developments of artificial intelligence in radiomics for oncology over the past decade: a bibliometric and visualized analysis. [PDF]

Discov Oncol
Zhang P, Wei L, Nie Z, Hu P, Zheng J, Lv J, Cui T, Liu C, Lan X.   +8 more
europepmc   +1 more source

A nomogram for predicting the nature of thyroid adenomatoid nodules on ultrasound: a dual-center study. [PDF]

Front Oncol
Cheng S, Zeng XT, Liang X, Hong ZL, Yang JC, You ZL, Wu SS.   +6 more
europepmc   +1 more source

Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage. [PDF]

BMC Med Imaging
Chen L, Wang X, Wang S, Zhao X, Yan Y, Yuan M, Sun S.   +6 more
europepmc   +1 more source

Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets. [PDF]

BMC Med Imaging
Marcon J, Weinhold P, Rzany M, Fabritius MP, Winkelmann M, Buchner A, Eismann L, Jokisch JF, Casuscelli J, Schulz GB, Knösel T, Ingrisch M, Ricke J, Stief CG, Rodler S, Kazmierczak PM.   +15 more
europepmc   +1 more source

Predicting lateral pelvic lymph node metastasis in rectal cancer patients using MRI radiomics: a multicenter retrospective study. [PDF]

Sci Rep
Yoo J, Han JY, Chang W, Hur BY, Kim JH, Choi Y, Kim SJ, Kim SH.   +7 more
europepmc   +1 more source