Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images.
Hady Ahmady PhouladyBaishali ChaudhuryDmitry B. GoldgofLawrence O. HallPeter R. MoutonArdeshir HakamErin M. SiegelPublished in: SMC (2014)
Keyphrases
- image classification
- pigmented skin lesions
- segmentation algorithm
- image analysis
- segmentation method
- skin lesion
- segmented images
- decision trees
- test images
- image regions
- edge detection
- input image
- accurate segmentation
- cervical cancer
- three dimensional
- fully automatic
- segmentation errors
- image data
- pattern recognition
- feature extraction
- segmentation accuracy
- automatically segmented
- level set
- image retrieval
- image features
- ground truth
- image segments
- image segmentation
- automated segmentation
- feature selection
- computer vision
- region of interest
- breast cancer
- object recognition
- machine learning
- region growing
- microscopy images
- segmented regions
- computer aided
- support vector
- grey level co occurrence matrix