Results 181 to 190 of about 82,903 (262)

18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia [PDF]

, 2019
Hao, Keji, Li, Hebei, Wahl, Richard L., Wang, Qian, Wang, Xiuying, Xin, Bowen, Xu, Chongrui, Zhao, Yunyun, Zheng, Chaojie, Zhou, Yun   +9 more
core   +1 more source

Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy [PDF]

, 2018
Hongming Li, Maya Galperin-Aizenberg, Daniel A. Pryma, Charles B. Simone, Yong Fan   +4 more
openalex   +1 more source

Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors. [PDF]

Transl Oncol
Wang J, Dai J, Cheng Y, Wang X, Deng R, Zhu H.   +5 more
europepmc   +1 more source

Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system. [PDF]

Cancer Imaging
Bian L, Liu F, Peng Y, Liu X, Li P, Liu Q, Bi L, Song S.   +7 more
europepmc   +1 more source

Prediction of HER2 expression in breast cancer patients based on multi-parametric MRI intratumoral and peritumoral radiomics features combined with clinical and imaging indicators. [PDF]

Front Oncol
Li X, Fang J, Wang F, Zhang L, Jiang X, Mao X.   +5 more
europepmc   +1 more source

Radiomic analysis of contrast-enhanced ultrasound data [PDF]

, 2018
Benjamin Theek, Tatjana Opacic, Zuzanna Magnuska, Twan Lammers, Fabian Kießling   +4 more
openalex   +1 more source

Variation in algorithm implementation across radiomics software [PDF]

, 2018
Joseph J. Foy, Kayla Robinson, Hui Li, Maryellen L. Giger, Hania Al‐Hallaq, Samuel G. Armato   +5 more
openalex   +1 more source

CT delta-radiomics predicts the risks of blood transfusion and massive bleeding during spinal tumor surgery. [PDF]

Cancer Imaging
Liu S, Li Y, Tian S, Jiang C, Ni M, Xu K, Wei F, Yuan H.   +7 more
europepmc   +1 more source

A comprehensive model combining radiomics and risk factors for predicting massive hemorrhage in cesarean scar pregnancy during dilatation and curettage. [PDF]

Eur J Radiol Open
Gao F, Fu L, Zhang Z, Li Y, Zhang Z, Zhang Y, Zhang Y, Shi J, Cheng J.   +8 more
europepmc   +1 more source

A Clinical-Radiomics Nomogram for the Preoperative Prediction of Aggressive Micropapillary and a Solid Pattern in Lung Adenocarcinoma. [PDF]

Curr Oncol
Xie X, Chen L, Li K, Shi L, Zhang L, Zheng L.   +5 more
europepmc   +1 more source