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Deep Learning for the Ovarian Lesion Localization and Discrimination Between Borderline Tumors and Cancers in MR Imaging

Differential diagnosis of cervical adenocarcinomaand squamous carcinomaby using multiple parameters of Enhanced T2* -WeightedAngiography

Author:Dahua Cui  Ailian Liu  Shifeng Tian  Qingwei Song  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Gynecologic & Prostate Cancers  

Session Name:Gynecologic & Prostate Cancers  

Program Number:0758  

Room Session:Concurrent 5  

Institution:The First Affiliated Hospital of Dalian Medical University  

DTI quantitative parameters were used to differentiate uterine sarcoma from cell - rich uterine fibroids

A Framework for Characterizing Prostate Cancer Heterogeneity Using Voxel-Wise Co-Registered Ex Vivo MRI and Whole-Mount Histopathology

Hyperpolarized 13C MR imaging of prostate cancer patient derived xenograft models and their response to therapy

Improving Multiparametric MR - TRUS Guided Fusion Prostate Biopsies with Hyperpolarized 13C Pyruvate Metabolic Imaging : Technical Development

In-vivo Magnetic Resonance Elastography of implanted human prostate tumors in a murine model.

MOdel-free Diffusion-wEighted MRI (MODEM) with Machine Learning for Cervical Cancer Detection

Author:Guangyu Dan  Cui Feng  Zheng Zhong  Kaibao Sun  Muge Karaman  Daoyu Hu  Xiaohong Joe Zhou  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Gynecologic & Prostate Cancers  

Session Name:Gynecologic & Prostate Cancers  

Program Number:0757  

Room Session:Concurrent 5  

Institution:Tongji Hospital  University of Illinois at Chicago  

Preliminary study about T2 mapping technology in quantification of uterine benign and malignant tumors under 1.5T and 3.0T MRI

Author:Liuhong Zhu  Pu-Yeh Wu  Hao Liu  JianJun Zhou  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Gynecologic & Prostate Cancers  

Session Name:Gynecologic & Prostate Cancers  

Program Number:0760  

Room Session:Concurrent 5  

Institution:GE Healthcare  Xiamen Branch, Zhongshan Hospital, Fudan University