A5066932934- Image Processing Techniques and Applications
- AI in cancer detection
- Mineral Processing and Grinding
- Radiomics and Machine Learning in Medical Imaging
- Cell Image Analysis Techniques
- Medical Image Segmentation Techniques
- COVID-19 diagnosis using AI
- Microfluidic and Bio-sensing Technologies
- MRI in cancer diagnosis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Augmented Reality Applications
- Advanced Fluorescence Microscopy Techniques
- Gastrointestinal Bleeding Diagnosis and Treatment
- Cancer-related molecular mechanisms research
- Domain Adaptation and Few-Shot Learning
- Microbial infections and disease research
University of Chinese Academy of Sciences
2024
Shenzhen Institutes of Advanced Technology
2024
Chinese Academy of Sciences
2024
University of Delaware
1992
Conventional hematoxylin-eosin (H&E) staining is limited to revealing cell morphology and distribution, whereas immunohistochemical (IHC) provides precise specific visualization of protein activation at the molecular level. Virtual technology has emerged as a solution for highly efficient IHC examination, which directly transforms H&E-stained images IHC-stained images. However, virtual challenged by insufficient mining pathological semantics spatial misalignment semantics. To address these...
With the increasing application of automated robotic digestive endoscopy (RDE), ensuring safe and efficient navigation in unstructured narrow tract has become a critical challenge. Existing reinforcement learning algorithms, often result potentially risky collisions due to absence essential human intervention, which significantly limits safety effectiveness RDE actual clinical practice. To address this limitation, we proposed Human Intervention (HI)-based Proximal Policy Optimization (PPO)...
We describe a novel hybrid optoelectronic system to study and track the in-plane motion rotation of microbe in real time. Unlike conventional microscope method, observation volume can be very large, up several millimeters diameter 2 mm depth. The patterns microbes more natural environment observed. entire consists laser illuminator, dark-field imaging element, video camera, microcomputer with an image capture interface. feature is illuminator that effectively directly acts on diffracted...
A hybrid three-axis laser Doppler velocimeter (LDV) system has been set up in our laboratory. The can monitor the motion of microbes a larger volume and nearly natural environment. computer is used to collect process data only when one microbe swims within measuring volume. We then obtain FFT spectrum that represents exactly signature this particular microbe. ambiguity caused by multiscattering among two or more be avoided. By using new analysis, feature vector related size microbe, its...