Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation.
Mariam ZabihiChayanin TangwiriyasakulSilvia IngalaLuigi LorenziniRobin CamarasaFrederik BarkhofMarleen de BruijneM. Jorge CardosoCarole H. SudrePublished in: MLMI@MICCAI (2) (2023)
Keyphrases
- shape prior
- segmentation algorithm
- low signal to noise ratio
- level set
- cellular neural networks
- false alarms
- rib cage
- complex background
- multiscale
- reliable detection
- automatic detection
- image segmentation
- cell segmentation
- shape analysis
- geometric shapes
- object detection
- detection algorithm
- detection method
- shape model
- circular hough transform
- upper bound
- shape matching
- background subtraction
- shape variations
- statistical shape model
- medical images
- false positives
- corpus callosum
- contour extraction
- medical imaging
- segmentation method
- geometric active contours
- region growing
- object boundaries
- shape representation
- cluttered scenes
- color image segmentation
- boundary detection
- object segmentation