A5025476230- Process Optimization and Integration
- Energy Efficient Wireless Sensor Networks
- AI in cancer detection
- Problem and Project Based Learning
- Electrowetting and Microfluidic Technologies
- Scheduling and Optimization Algorithms
- Service and Product Innovation
- Advanced Control Systems Optimization
- Advanced Fluorescence Microscopy Techniques
- Machine Learning in Healthcare
- Machine Learning and Data Classification
- Artificial Intelligence in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Manufacturing Process and Optimization
- MRI in cancer diagnosis
- Advanced Manufacturing and Logistics Optimization
- Nanomaterials and Printing Technologies
- Distributed Sensor Networks and Detection Algorithms
- Optical Imaging and Spectroscopy Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Fault Detection and Control Systems
- Indoor and Outdoor Localization Technologies
- Ideological and Political Education
- Biometric Identification and Security
- Recommender Systems and Techniques
University of Science and Technology of China
2021-2023
Suzhou Institute of Biomedical Engineering and Technology
2013-2023
Chinese Academy of Sciences
2013-2023
Abstract Big data in medical diagnosis can provide abundant value for clinical diagnosis, decision support and many other applications, but obtaining a large number of labeled will take lot time manpower. In this paper, classification model based on semi-supervised learning algorithm using both unlabeled is proposed to process big which includes structured, semi-structured unstructured data. For the laboratory data, paper proposes self-training repeated labeling strategy solve problem that...
Abstract Biometrics recognition takes advantage of feature extraction and pattern to analyze the physical behavioral characteristics biological individuals achieve purpose individual identification. As a typical biometric technology, palm print vein have high rate, stable features, easy location good image quality, which attracted attention researchers. This paper designs develops multispectral acquisition platform, can quickly acquire spectrum images with seven different wavelengths. We...
This paper applies model predictive control (MPC), which is an advanced technique to supply chain planning arising in petrochemical industry. A multi-period, multi-product under uncertainty discussed. The usefulness of MPC as a tactical decision policy integrated the model. Based on discrete-time modeling method, mixed integer linear programming (MILP) introduced, nonlinear part converted problem using fuzzy possibility method. effectiveness proposed illustrated through refinery case.
The recommendation system could mine the user's behavior operation data and provide different personalized services for users. problems of inaccurate incomplete description patients' needs in internet medical service have brought great challenges to service. This paper takes field as research object improve collaborative filtering algorithm system. Firstly, static evaluation model based on doctor entity hospital is established by using Analytic Hierarchy Process (AHP) realize initial...
Wireless sensor networks (WSN) are becoming increasingly promising in practice. As the predeployment design and optimization usually unpractical random deployment scenarios, global optimum of WSN’s performance is achievable only if topology dependent self-organizing process acquires overview WSN, which boundary most important. The idea this paper comes from fact that contours break on geometrical WSN discrete sampling systems real environments. By simulating a diffusion form, end point...
Bio-optical imaging can noninvasively describe specific biochemical reaction events in small animals using endogenous or exogenous reagents to label cells, proteins, DNA. The fluorescence optical bio-imaging system excites the fluorescent group a high energy state by excitation light and then generates emission light. However, many substances organism will also emit after being excited light, nonspecific generated affect detection sensitivity. This paper designs develops set of high-level...
Over the past few decades, micro liquid dispensing technology has been widely used in biology, chemistry, material and environmental sciences due to its efficacy processing multiple samples. For practical applications, precise effective droplet generation is very important. Despite numerous methods, implementation of droplet-on-demand still faces challenges concerning system complexity, precision, cost, robustness. In this work, a novel on-demand contacting method incorporated with...
In Vitro Diagnosis devices (IVD) are made of hundreds parts. At present, time-slot scheduling method makes some parts the device idle when they working. Therefore, this paper proposes an emergency priority optimization algorithm. Firstly, a linear programming is used to obtain optimal solution with objective shortest duration. When samples arrive, rescheduling ensure effectiveness test. Taking fluorescence immunoassay as example, and algorithm compared. The results show that he latter 3/min...
China has initially formed a medical instruments innovation, research and development system. There is an urgent need to build national data platform information system integrate analyze the of demonstration promotion, application evaluation scientific technological project achievements domestic innovative instruments, so as provide assistance for improvement quality competitiveness enterprises in China. This paper mainly introduces work progress from perspective service computing...
This retrospective analysis was conducted on clinical obtained DCE-MR images of 198 patients, age from 21 to 79 years(45.5±13.7). The CBAM-ResNet model developed perform the classification automatically at image-level based deep learning method using pathological examination as reference standard,then result each individual patient by ensemble learning. proposed can have an accuracy 82.69% for correctly distinguishing between benign and malignant breast tumors slice-level with a sensitivity...