Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Huarui DU"'
Autor:
Huarui Du, Yaqiong Zhu, Zhuang Jin, Ming-bo Zhang, Shijie Zhang, Jue Zhang, Xiaoqi Tian, Fang Xie, Ying Zhang, Luo Yukun
Publikováno v:
IEEE Access, Vol 8, Pp 53223-53231 (2020)
Computer-aided diagnosis systems (CADs) present valuable second opinions to radiologists in diagnosis. Many studies on thyroid nodules have proposed various CADs to provide a binary result, benignity or malignancy, for doctors, ignoring interpretabil
Autor:
Huarui Du, Yukun Luo, Jiabin Zhang, Fang Xie, Jian An, Mingbo Zhang, Ziyu Jiao, Xiaoqi Tian, Zhuang Jin, Yaqiong Zhu, Hanjing Kong, Ying Zhang, Jue Zhang, Shijie Zhang
Publikováno v:
2019 IEEE International Ultrasonics Symposium (IUS).
Deep neural network models are currently facing problems due the weak interpretability of predicted results. One solution would involve integrating the clinical knowledge and classifiers. In this study, we utilized mature clinical experiences from TI
Autor:
Zhuang Jin, Yukun Luo, Ziyu Jiao, Fang Xie, Xiaoqi Tian, Ying Zhang, Huarui Du, Shijie Zhang, Mingbo Zhang, Jue Zhang, Yaqiong Zhu
Publikováno v:
2018 IEEE International Ultrasonics Symposium (IUS).
Thyroid nodules are exceedingly common, and most nodules are benign. The classification of thyroid nodules can greatly reduce the cost of surgery. Current research focuses on the classifications of benign and malignant tumors in the diagnosis of thyr
Autor:
Xuexiang Jiang, Feiyu Li, Wenchao Cai, Jue Zhang, Jing Wang, Huarui Du, Xiaoying Wang, Jing Fang
Publikováno v:
NMR in Biomedicine. 27:817-825
Perfusion MRI has the potential to provide pathophysiological biomarkers for the evaluating, staging and therapy monitoring of prostate cancer. The objective of this study was to explore the feasibility of noninvasive arterial spin labeling (ASL) to