Detection of Fundus Lesions Using Classifier Selection.
Hiroto NagayoshiYoshitaka HiramatsuHiroshi SakoMitsutoshi HimagaSatoshi KatoPublished in: IEICE Trans. Inf. Syst. (2009)
Keyphrases
- diabetic retinopathy
- automatic detection
- retinal images
- training data
- computer aided
- false positives
- detection algorithm
- detection accuracy
- detection rate
- object detection
- selection scheme
- image analysis
- digital mammograms
- feature extraction and classification
- early detection
- selection criterion
- feature space
- support vector
- decision trees
- lesion segmentation
- false negative
- data sets
- classification method
- class labels
- detection method
- blood vessels
- learning classifier systems
- object detectors
- selection algorithm
- svm classifier
- medical experts
- feature set
- support vector machine
- machine learning
- neural network