Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Zujun Hou"'
Autor:
Jianan Zhou, Zujun Hou, Chuanshuai Tian, Zhengyang Zhu, Meiping Ye, Sixuan Chen, Huiquan Yang, Xin Zhang, Bing Zhang
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Glioma is the most common type of primary malignant tumor of the central nervous system (CNS), and is characterized by high malignancy, high recurrence rate and poor survival. Conventional imaging techniques only provide information regarding the ana
Externí odkaz:
https://doaj.org/article/1dae801ab10a41788c5f232fa35256f7
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Purpose To compare a deep learning model with a radiomics model in differentiating high-grade (LR-3, LR-4, LR-5) liver imaging reporting and data system (LI-RADS) liver tumors from low-grade (LR-1, LR-2) LI-RADS tumors based on the contrast-
Externí odkaz:
https://doaj.org/article/0ba18299d2be45b39b14cbf1b0819ba4
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionThe successful use of machine learning (ML) for medical diagnostic purposes has prompted myriad applications in cancer image analysis. Particularly for hepatocellular carcinoma (HCC) grading, there has been a surge of interest in ML-based
Externí odkaz:
https://doaj.org/article/9aba33c96755460db21aac49fce4800a
Autor:
Xue Wang, Shujian Li, Xianhui Lin, Yi Lu, Chuanwan Mao, Zhijun Ye, Xuesheng Li, Tong-San Koh, Jie Liu, Jingjing Liu, Xiaoyue Ma, Jingliang Cheng, Gang Ning, Zhihan Yan, Zujun Hou
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesThis study assessed the clinical value of parameters derived from dynamic contrast-enhanced (DCE) MRI with respect to correlation with angiogenesis and proliferation of cervical cancer, performance of diagnosis and reproducibility of DCE-MR
Externí odkaz:
https://doaj.org/article/0cb6d828a47d43908e3f32779a6320bc
Publikováno v:
Cancer Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background To compare different fitting methods for determining IVIM (Intravoxel Incoherent Motion) parameters and to determine whether the use of different IVIM fitting methods would affect differentiation of cervix cancer from normal cervi
Externí odkaz:
https://doaj.org/article/3903b6571f014e38b35aba0649bb85ff
Autor:
Zujun Hou
Publikováno v:
International Journal of Biomedical Imaging, Vol 2006 (2006)
Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field. Low-freq
Externí odkaz:
https://doaj.org/article/e2b378c05e3642c290316125e3140b0b
Publikováno v:
Acta Radiologica. 63:536-544
Background Most commonly used diffusion-weighted imaging (DWI) models include intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential model (SEM), and mono-exponential model (MEM). Previous studies of the four mod
Autor:
Wanyue Li, Wangyi Fang, Jing Wang, Yi He, Guohua Deng, Hong Ye, Zujun Hou, Yiwei Chen, Chunhui Jiang, Guohua Shi
Publikováno v:
Translational vision sciencetechnology. 11(3)
The purpose of this study was to design an automated algorithm that can detect fluorescence leakage accurately and quickly without the use of a large amount of labeled data.A weakly supervised learning-based method was proposed to detect fluorescein
Publikováno v:
Medical Physics. 46:5098-5109
Purpose To evaluate whether the analysis of high-temporal resolution DCE-MRI by various tracer kinetic models could yield useful radiomic features in discriminating cervix carcinoma and normal cervix tissue. Methods Forty-three patients (median age 5
Publikováno v:
Cancer Imaging
Cancer Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Cancer Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Background To compare different fitting methods for determining IVIM (Intravoxel Incoherent Motion) parameters and to determine whether the use of different IVIM fitting methods would affect differentiation of cervix cancer from normal cervix tissue.