Classification of iPSC colony images using hierarchical strategies with support vector machines.
Henry JoutsijokiJyrki RaskuMarkus HaponenIvan BaldinYulia GizatdinovaMichelangelo PaciJyri SaarikoskiKirsi VarpaHarri SiirtolaJorge Avalos-SalgueroKati IltanenJorma LaurikkalaKirsi PenttinenJari A. K. HyttinenKatriina Aalto-SetäläMartti JuholaPublished in: CIDM (2014)
Keyphrases
- image classification
- image data
- image database
- input image
- decision trees
- image features
- image analysis
- three dimensional
- edge detection
- handwritten digits
- pattern recognition
- test images
- support vector machine
- ground truth
- hierarchical classification
- machine learning
- feature vectors
- classification accuracy
- support vector
- classification method
- image regions
- image annotation
- region of interest
- image set
- segmentation algorithm
- unsupervised learning
- feature points
- feature extraction
- coarse to fine
- pigmented skin lesions
- high resolution computed tomography
- fractal dimension
- thematic mapper
- training set
- image collections
- image matching
- computer systems
- knn
- object recognition
- image retrieval