A5008301002- AI in cancer detection
- MRI in cancer diagnosis
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Embedded Systems and FPGA Design
- Advanced Neural Network Applications
- Green IT and Sustainability
- Artificial Intelligence in Healthcare
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Traffic Prediction and Management Techniques
- Advanced Image and Video Retrieval Techniques
- Brain Tumor Detection and Classification
- Advanced Neuroimaging Techniques and Applications
- Human Pose and Action Recognition
- Sustainable Supply Chain Management
- Radiomics and Machine Learning in Medical Imaging
- Schizophrenia research and treatment
- Recycling and Waste Management Techniques
Hefei University
2021-2023
Soochow University
2022
Second Affiliated Hospital of Soochow University
2022
HAW Hamburg
2021
Universität Hamburg
2021
Wuhan University of Science and Technology
2019
Northwestern Polytechnical University
2018
Guangzhou Psychiatric Hospital
2016
Guangzhou Medical University
2016
The brain is the largest and most complex structure in central nervous system. It dominates all activities body, lesions human body are also reflected signal. In this paper, image method used to assist signal detect lesion. Due particularity of medical images, there no common segmentation for any image, objective standard judge whether effective. Medical technology still a bottleneck restricting development application other related technologies processing. Based on above reasons, paper...
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect group-wise differences thus, a poor predictive value for individuals. In the present study, we applied machine learning method that combined support vector (SVM) recursive feature elimination (RFE) to discriminate SZ from normal controls (NCs)...
In the context of "double carbon" goal, there is an urgent need to recycle express packaging. To provide valuable suggestions for government decision-making, social behavior packaging recycling system needs be modeled and simulated. Thus, we analyzed relevant cases construction operation waste systems in developed countries China. Secondly, a theoretical model such was using modeling method based on Netlogo. Finally, taking Hefei City as example, logistics network simulation were...
Focusing on the problems of target deformation, occlusion, background interference and rotation, a robust video tracking method is proposed in this paper, which based superpixels dynamic graph matching. Firstly, to make edge fit better structure tighter, local gradient feature fused into simple linear iterative clustering (SLIC) method. Secondly, candidate set generated by Graph Cuts obtain more accurate foreground set, LASVM classification results are energy function. Thirdly, order tracker...
The intelligent safe-driving warning system can detects the brain wave signal of driver through eeg sensor and analyze current mental state driver. It process data different types. reduce noise collected resulted in outside factors. small packet be received analyzed by Bluetooth receiver. large dealt with eSense algorithm. concentration distraction extracted from data. And then, judging degree distraction, it roughly determine activity. signals communicate via sent to client processed. At...
This study aimed to explore the effects of delayed enhanced magnetic resonance imaging (MRI) (DE-MRI) image features based on semiautomatic circle-dependent (SCD)-based multiphase level set (MLS) (SCD-MLS) algorithm in predicting histological grade breast tumors. We clinical effect DE-MRI prediction tumors (BTs). In this study, 264 tumor (BT) patients from The Second Affiliated Hospital Soochow University were selected as research objects, and examinations performed. SCD-MLS was compared...
We were glad to introduce you that the 2021 3rd International Conference on Applied Machine Learning and Data Science (ICAMLDS 2021), held 14th-16th, May, 2021, Chengdu, China. This conference was sponsored by Chengdu University of Technology Xiamen University. Affected COVID-19 pandemic implementation government's isolation policy, author unable arrive at safely time. Considering safety health participants, ICAMLDS via online collaboration tool, Tencent meeting, which is different from...