A5017252551- Coronary Interventions and Diagnostics
- Retinal Imaging and Analysis
- Medical Image Segmentation Techniques
- Advanced X-ray and CT Imaging
- Image Processing and 3D Reconstruction
- Neural Networks and Applications
- Cardiovascular Disease and Adiposity
- Medical Imaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Cardiovascular Health and Disease Prevention
- Image and Object Detection Techniques
- Image Processing Techniques and Applications
Sichuan University
2023-2025
Chengdu University
2025
China Earthquake Administration
2010
Splitting touching objects in digital images is a special issue image segmentation. Bai et al. introduced concave points and an ellipse-fitting-based algorithm, which used the relationship between corresponding fitted ellipses of contour segments to combine them, causes some problems. This splitting algorithm improved make use merge them. The experimental results show that more accurate than previous one.
Precise and efficient diagnosis of coronary artery disease (CAD) greatly depend on the automated segmentation arteries. However, due to presence noise in Computed Tomography Angiography (CTA) images complex shape arteries, which are easily interfered by surrounding tissues (such as myocardium, lung tissue, etc.), segmenting arteries from low-contrast background is a challenging task. To capture diverse morphology feature correlations we build upon an encoder-decoder architecture leverage...