Detecting diseased images by segmentation and classification based on semi - supervised learning.
Dinesh Kumar AngurajShahul HammedHanah Ayisha V. Hyder AliVigneshwar ManokarPublished in: HIS (2012)
Keyphrases
- semi supervised learning
- supervised learning
- segmentation algorithm
- improve the classification accuracy
- semi supervised
- semi supervised classification
- unsupervised learning
- unlabeled data
- segmentation method
- image classification
- transductive support vector machine
- test images
- co training
- labeled data
- semi supervised learning algorithms
- labeled and unlabeled data
- machine learning
- input image
- unlabeled samples
- active learning
- manifold regularization
- classification accuracy
- object recognition
- training data
- class labels
- training set
- image features
- bounding box
- image segmentation
- text classification
- training examples
- pattern recognition
- learning tasks
- superpixels
- training samples
- labeled instances
- model selection
- learning algorithm
- support vector machine
- feature extraction
- prior knowledge
- feature vectors