Master's thesis: Segmentation of Liquid Foam bubbles in Volumetric X-Ray Computed Tomography Datasets Using Deep Learning
Tasks
- Develop deep learning segmentation methods
- Evaluate and improve segmentation performance
- Implement convolutional neural networks
- Implement physics-informed neural networks
- Segment foam bubbles in volumetric computed tomography
- Track bubble evolution across time steps
Perks/Benefits
Skills/Tech-stack
3D Imaging | 4D Imaging | Computed Tomography | Convolutional Neural Networks | Deep learning | Digital Image Correlation | Image Segmentation | Image Tracking | Image correlation | Machine Learning | Neural Networks | Physics Informed Neural Networks | Watershed Algorithm | X-Ray | X-ray Computed Tomography
Education
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