Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information.
Xujiong YeMusib SiddiqueAbdel DouiriGareth BeddoeGreg G. SlabaughPublished in: ISBI (2009)
Keyphrases
- lung nodules
- mean shift
- mode seeking
- ct images
- computerized tomography
- level set
- computer aided diagnosis
- region merging
- normalized cut
- computed tomography
- color image segmentation
- x ray images
- image segmentation algorithm
- graph cuts
- object tracking
- feature space
- density function
- k means
- particle filter
- clustering algorithm
- medical images
- object recognition
- ct scans
- lung cancer
- segmentation algorithm
- foreground and background
- kullback leibler divergence
- medical imaging
- segmented images
- information theoretic
- image processing
- computer aided
- bhattacharyya coefficient
- soft clustering
- image sequences
- computer tomography
- video sequences
- search space
- ct data
- object detection
- x ray
- spectral clustering
- breast cancer