Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation.
Artem PimkinGleb MakarchukVladimir KondratenkoMaxim PisovEgor KrivovMikhail BelyaevPublished in: ICIAR (2018)
Keyphrases
- pigmented skin lesions
- segmentation algorithm
- image classification
- neural network
- segmentation method
- pattern recognition
- image analysis
- segmented images
- image regions
- test images
- edge detection
- segmentation errors
- three dimensional
- microscopic images
- fully automatic
- ground truth
- segmentation accuracy
- grey level
- digital imaging
- image database
- accurate segmentation
- image features
- image data
- object recognition
- classification algorithm
- image segmentation
- pixel level
- region growing
- feature selection
- image segmentation algorithms
- adaptive thresholding
- feature extraction and selection
- image retrieval
- multiscale
- medical images
- input image
- positron emission tomography
- skin lesion
- classification accuracy
- automatically segmented
- predictive accuracy
- decision trees
- feature extraction
- image registration
- level set
- medical imaging
- tubular structures
- grey level co occurrence matrix
- gabor filters
- training set
- cell nuclei
- microscopy images
- individual classifiers
- foreground and background
- automatic segmentation
- object segmentation