Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images.
Wei XiongS. H. OngChristina KangJoo-Hwee LimJiang LiuDaniel RacoceanuKelvin Weng Chiong FoongPublished in: BMEI (2009)
Keyphrases
- blood cells
- image classification
- fully automatic
- image database
- ground truth
- automatic annotation
- image data
- three dimensional
- microscopic images
- pattern recognition
- quantitative evaluation
- image analysis
- classification accuracy
- classification method
- image features
- image registration
- test images
- microscope images
- edge detection
- feature extraction
- feature selection
- handwritten digits
- fractal dimension
- decision trees
- support vector
- input image
- object recognition
- feature vectors
- training set
- thematic mapper
- training data
- preprocessing stage
- correct classification
- cell nuclei
- feature space
- segmentation method
- semi supervised
- region of interest
- feature set
- multi label
- class labels