Grain and Grain Boundary Segmentation using Machine Learning with Real and Generated Datasets.
Peter WarrenNandhini RajuAbhilash PrasadShajahan HossainRamesh SubramanianJayanta KapatNavin ManjooranRanajay GhoshPublished in: CoRR (2023)
Keyphrases
- machine learning
- segmentation algorithm
- boundary extraction
- segmentation method
- boundary estimation
- real life
- image segmentation
- medical images
- data mining
- fully automatic
- benchmark datasets
- machine learning algorithms
- level set
- segmentation result
- region growing
- active learning
- machine learning methods
- support vector machine
- boundary information
- shape prior
- feature selection
- multiscale
- image analysis
- semi supervised learning
- knowledge acquisition
- edge detection
- pattern recognition
- model selection
- segmentation accuracy
- shape description
- text classification
- geodesic active contours
- learning algorithm
- real world