A5024849765- Hepatocellular Carcinoma Treatment and Prognosis
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Cancer, Hypoxia, and Metabolism
- Infective Endocarditis Diagnosis and Management
- Embedded Systems and FPGA Design
- Spectroscopy Techniques in Biomedical and Chemical Research
- AI in cancer detection
- Chaos-based Image/Signal Encryption
- Cardiac electrophysiology and arrhythmias
- Renal cell carcinoma treatment
- Cardiac Imaging and Diagnostics
- Neural Networks and Applications
- Advanced Computational Techniques and Applications
- Microbial Inactivation Methods
- Advanced MRI Techniques and Applications
- Viral Infections and Immunology Research
- Indoor and Outdoor Localization Technologies
- Biometric Identification and Security
- Brain Tumor Detection and Classification
- Network Packet Processing and Optimization
- Wireless Communication Networks Research
- Vehicle Routing Optimization Methods
- Liver Disease Diagnosis and Treatment
- Radar Systems and Signal Processing
PLA Information Engineering University
2008-2023
Taixing People's Hospital
2021
System Equipment (China)
2018-2019
Shandong University
2011-2017
Beijing Jiaotong University
2017
China Mobile (China)
2013
Qiqihar Medical University
2009
Institute of Information Engineering
2008
Jinan University
2007
Beijing Institute of Technology
2007
Abstract Objective To investigate the capability of computed tomography (CT) radiomic features to predict therapeutic response and local control locoregional recurrence lymph node (LN) after curative esophagectomy by chemoradiotherapy. Methods This retrospective study included 129 LN from 77 patients (training cohort: 102 59 patients; validation 27 18 patients) with postoperative esophageal squamous cell carcinoma (ESCC). The region tumor was contoured in pretreatment contrast‐enhanced CT...
Summary The general Global Navigation Satellite System (GNSS) receiver faces several challenges because of jamming signals, spoofing and multipath which severely influence its safety. In this paper, a scheme with an interference recognition function is designed. the latter, correlation peak different shapes produced according to interferences. machine learning method then applied recognize classify these feature maps. This transforms problem into learning‐based classification problem. order...
突触是生物神经系统的重要组成部分. 忆阻器因具备连续可调的非线性电导, 与连接强度可连续调节的生物突触极为相似, 因此在构建人工突触及类脑系统方面引起了广泛研究. 本文制备了Cu/MXene/SiO<sub>2</sub>/W结构的忆阻器, 基于该器件的电学特性、尤其是电导的连续可调特性, 构建人工突触单元并设计了神经形态电路. 在该电路中, 通过施加连续的电压脉冲, 对人工突触单元进行训练, 成功模仿实现了经典条件反射行为. 这一工作将对未来基于忆阻器构建大规模神经形态系统以进行类脑智能运算具有重要的意义.
The cardiac magnetic resonance (CMR) of children at 3.0 T presents a unique set technical challenges because their small anatomical structures, fast heart rates, and the limited ability to keep motionless hold breathe, which could cause problems associated with field inhomogeneity degrade image quality. aim our study was evaluate effect dual-source parallel radiofrequency (RF) transmission on B1 homogeneity quality in CMR T. approved by institutional ethics committee written informed consent...
To investigate the predictive ability of Radiomics signature for preoperative pathological grading Hepatocellular Carcinomas (HCC), no contrast MRI images were integrated and a comprehensive analysis was conducted to predict clinical outcomes using radiomics features. Variable selection via LASSO logistic regression used select most-predictive features grading. Cross-Validation with receiver operating characteristic (ROC) performed area under ROC curve (AUC) employed as prediction metric....
Objective: To explore the preliminary clinical efficacy and safety of multi-electrode synchronous radiofrequency ablation via switching controller for treating large hepatocellular carcinoma. Methods: A total 20 patients with carcinoma from minimally invasive Interventional department Sun Yat-sen University Cancer Center were enrolled in this retrospective study December 2013 to 2014.The procedures conducted under CT guidance.The necrosis rate tumor was assessed by following imaging...
For design of a class stream cipher algorithm reconfigurable coprocessor, it is necessary to realize efficient and flexible distribution between the initial chaos source generator nonlinear transformation unit. From analysis, can be seen that data should have any extraction repeatable permutation characteristics. In this paper, network’s main circuit based on Inverse Butterfly network Crossbar presented. And an control information generation given. By analysis comparison with other...
The bit permutation unit consists of network and configuration information. In the article, a information parallel extraction algorithm with time complexity O (log <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> N) based on Waksman is presented to achieve not only system reconfigurable cipher microprocessors but also an arbitrary N × permutation. This can support operations in block stream algorithm, occupy less hardware resources.
The goal of this research is to achieve accurate segmentation liver tumors in noncontrast T2-weighted magnetic resonance imaging. As and adjacent organs are represented by pixels very similar gray intensity, challenging, the presence different sizes tumor makes more difficult. Differing from previous work capture contextual information using multiscale feature fusion with concatenation, attention mechanism added our model extract precise global for pixel labeling without requiring complex...