Detection of Fundus Lesions Using Classifier Selection.
Hiroto NagayoshiYoshitaka HiramatsuHiroshi SakoMitsutoshi HimagaSatoshi KatoPublished in: MVA (2007)
Keyphrases
- diabetic retinopathy
- retinal images
- digital mammograms
- support vector machine classifier
- detection method
- automatic detection
- object detection
- training data
- feature extraction and classification
- feature set
- fundus images
- classification process
- detection accuracy
- early detection
- detection algorithm
- selection scheme
- training set
- spam detection
- classifier combination
- feature selection
- selection criterion
- training samples
- feature space
- decision trees
- machine learning
- false alarms
- medical experts
- computer aided
- svm classifier
- automated detection
- support vector machine
- support vector