Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
Jan 1, 0001
Photo by rawpixel on Unsplash
Yuankai Huo
Assistant Professor of Computer Science, Electrical and Computer Engineering
My research interests include large-scale medical computer vision, data science, and machine learning.
Related
- Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment
- CircleNet: Anchor-free Detection with Circle Representation
- A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data
- Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
- Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale