A5100702459- Advanced Neural Network Applications
- Immune Cell Function and Interaction
- Brain Tumor Detection and Classification
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Effects of Radiation Exposure
- Cervical Cancer and HPV Research
- COVID-19 diagnosis using AI
- Cardiovascular Disease and Adiposity
- Reproductive System and Pregnancy
- Single-cell and spatial transcriptomics
- Video Surveillance and Tracking Methods
- Ferroptosis and cancer prognosis
- Remote Sensing and Land Use
- Service-Oriented Architecture and Web Services
- Cancer Immunotherapy and Biomarkers
- Computational Drug Discovery Methods
- Hepatitis C virus research
- AI in cancer detection
- Traditional Chinese Medicine Studies
- Radiomics and Machine Learning in Medical Imaging
- Caching and Content Delivery
- Nuclear Receptors and Signaling
- Software Reliability and Analysis Research
- Software Engineering and Design Patterns
Inner Mongolia University
2023-2025
Wenzhou University
2023
Zhejiang University
2023
Hangzhou DAC Biotech (China)
2023
Guangzhou University
2022-2023
The Ohio State University Wexner Medical Center
2022
Wenzhou City People's Hospital
2020
Hebei University of Engineering
2015
Southern Medical University
2014
Shenzhen Occupational Disease Prevention Hospital
2014
Intelligent traffic systems represent one of the crucial domains in today’s world, aiming to enhance management efficiency and road safety. However, current intelligent still face various challenges, particularly realm target detection. These challenges include adapting complex scenarios lack precise detection for multiple objects. To address these issues, we propose an innovative approach known as YOLOv8-SnakeVision. This method introduces Dynamic Snake Convolution, Context Aggregation...
Brain tumors are one of the major health threats to humans, and their complex pathological features anatomical structures make accurate segmentation detection crucial. However, existing models based on Transformers Convolutional Neural Networks (CNNs) still have limitations in medical image processing. While proficient capturing global features, they suffer from high computational complexity require large amounts data for training. On other hand, CNNs perform well extracting local but...
Brain tumors are diseases characterized by abnormal cell growth within or around brain tissues, including various types such as benign and malignant tumors. However, there is currently a lack of early detection precise localization in MRI images, posing challenges to diagnosis treatment. In this context, achieving accurate target images becomes particularly important it can improve the timeliness effectiveness To address challenge, we propose novel approach–the YOLO-NeuroBoost model. This...
In black-box attack, excessive queries to target model may cause suspicion and expose attacker's identity. Equipped with advanced meta learning technique, Meta Attack simulates the a surrogate model, significantly reducing queries. However, it for ZOO-gradients correct estimated meta-gradients fixed frequency, thereby still leading massive unnecessary To overcome this limitation, letter takes dynamic changes of accuracy gradients as starting point, develops Dynamic (DMA). At beginning each...
Software testing has traditionally focused on evaluating the functionality of implemented modules against feature specifications. This approach assumes that customer requirements and usage scenarios are accurately translated into specifications individual using would work seamlessly coherently to solve business problems meant be addressed by software under test. To ensure built help customers their as intended, test teams have go beyond traditional driven for quality completeness with...
Background: Tau assembly produces soluble oligomers and insoluble neurofibrillary tangles, which are neurotoxic to the brain associated with Alzheimer’s Parkinson’s diseases. Therefore, preventing tau aggregation is a promising therapy for those neurodegenerative disorders. Objective: The aim of this study was develop joint computational/cell-based oligomerization protocol screening inhibitors assembly. Methods: Virtual inhibition (VOI) experiment using molecular dynamics simulation...
Abstract TCR detection can examine the extent of T-cell immune responses. Therefore, article analyzed characteristic data glioma obtained by high-throughput sequencing, to predict disease with fewer biomarkers and higher accuracy. We downloaded online six TCR-related diversity indices establish a multidimensional classification system. By comparing actual presence 602 correlated sequences, we two-dimensional datasets. Multiple methods were utilized for both datasets accuracy slightly less...
Objective To investigate the clinical significance of quantitative detection myocardial edema in acute infarction based on T2 mapping. Methods From July 2018 to February 2019, a total 20 patients (observation group) who underwent cardiac MRI after interventional therapy People's Hospital Wenzhou were enrolled.Another healthy volunteers selected as control group.The image data observation group collected, and post-processed.The value, area microcirculation obstacle infarcted myocardium...