F
Fangfang Fu
Researcher at Zhengzhou University
Publications - 25
Citations - 250
Fangfang Fu is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 4, co-authored 8 publications receiving 65 citations.
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Journal ArticleDOI
Radiomics in liver diseases: Current progress and future opportunities.
TL;DR: The methodological process in liver disease radiomics studies is reviewed in a stepwise fashion from data acquisition and curation, region of interest segmentation, liver‐specific feature extraction, to task‐oriented modelling, and the applications of radiomics in liver diseases are outlined.
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Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia.
Fangfang Fu,Jianghua Lou,Deyan Xi,Yan Bai,Gongbao Ma,Bin Zhao,Dong Liu,Guofeng Bao,Zhidan Lei,Meiyun Wang +9 more
TL;DR: The predominant CT features of COVID-19 pneumonia are multiple ground-glass opacities with or without consolidation and, with both lungs, multiple lobes and especially the lower lobe affected.
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Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study.
Jingwei Wei,Hanyu Jiang,Mengsu Zeng,Meiyun Wang,Meng Niu,Dongsheng Gu,Huanhuan Chong,Yanyan Zhang,Fangfang Fu,Mu Zhou,Jie Chen,Fudong Lyv,Hong Wei,Mustafa R. Bashir,Bin Song,Hongjun Li,Jie Tian +16 more
TL;DR: Wang et al. as mentioned in this paper explored the validity of deep learning (DL) in MVI prediction using two imaging modalities-contrastenhanced computed tomography (CE-CT) and gadoxetic acid-enhanced magnetic resonance imaging (EOB-MRI).
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Radiomics Signatures Based on Multiparametric MRI for the Preoperative Prediction of the HER2 Status of Patients with Breast Cancer
Jing Zhou,Hongna Tan,Wei Li,Zehua Liu,Yaping Wu,Yan Bai,Fangfang Fu,Xin Jia,Aozi Feng,Huan Liu,Meiyun Wang +10 more
TL;DR: Radiomics signatures based on multiparametric MRI represent a potential and efficient alternative tool to evaluate the HER2 status in patients with breast cancer.
Journal ArticleDOI
Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data.
Meiyun Wang,Fangfang Fu,Bingjie Zheng,Yan Bai,Qingxia Wu,Jianqiang Wu,Lin Sun,Qiuyu Liu,Mingge Liu,Yichen Yang,Hongru Shen,Dalu Kong,Xiaoyue Ma,Peiting You,Xiangchun Li,Fei Tian +15 more
TL;DR: Wang et al. as mentioned in this paper developed a deep-learning AI system to improve the diagnostic accuracy of hepatocellular carcinoma (HCC) by analysing liver CT imaging data.