A5004742770- Control and Dynamics of Mobile Robots
- Robotic Path Planning Algorithms
- Imbalanced Data Classification Techniques
- Manufacturing Process and Optimization
- AI in cancer detection
- Renal and Vascular Pathologies
- Advanced MRI Techniques and Applications
- Vehicle License Plate Recognition
- Statistical and Computational Modeling
- Advanced Manufacturing and Logistics Optimization
- Multimodal Machine Learning Applications
- Geographic Information Systems Studies
- MRI in cancer diagnosis
- Digital Imaging for Blood Diseases
- Biomedical Text Mining and Ontologies
- Software Engineering Research
- Scheduling and Optimization Algorithms
- Digital Transformation in Industry
Wenzhou Central Hospital
2022
The rapid development of vision language models (VLMs) demands rigorous and reliable evaluation. However, current visual question answering (VQA) benchmarks often depend on open-ended questions, making accurate evaluation difficult due to the variability in natural responses. To address this, we introduce AutoConverter, an agentic framework that automatically converts these questions into multiple-choice format, enabling objective while reducing costly creation process. Our experiments...
The development of vision-language models (VLMs) is driven by large-scale and diverse multimodal datasets. However, progress toward generalist biomedical VLMs limited the lack annotated, publicly accessible datasets across biology medicine. Existing efforts are restricted to narrow domains, missing full diversity knowledge encoded in scientific literature. To address this gap, we introduce BIOMEDICA, a scalable, open-source framework extract, annotate, serialize entirety PubMed Central Open...
This study was aimed to analyze the correlation between blood oxygen level-dependent magnetic resonance imaging (BOLD-MRI) images and prognosis of patients with diabetic nephropathy (DN) based on artificial intelligence (AI) segmentation algorithm, so as provide references for diagnosis treatment well analysis DN. In this study, a kernel function-based fuzzy C-means algorithm (KFCM) model proposed, FCM neighborhood pixel information (BCFCM) efficiency improvement (EnFCM) were introduced...