Detection and phenotyping of retinal disease using AM-FM processing for feature extraction.
Carla AgurtoSergio MurilloVíctor MurrayMarios PattichisStephen R. RussellMichael AbramoffPeter SolizPublished in: ACSCC (2008)
Keyphrases
- feature extraction
- feature extraction and classification
- outbreak detection
- real time
- automatic detection
- detection algorithm
- diabetic retinopathy
- retinal images
- false alarms
- frequency analysis
- principal component analysis
- data processing
- image processing
- non stationary
- false positives
- vessel detection
- detection accuracy
- texture classification
- disease surveillance
- object detection
- wavelet transform
- preprocessing
- detection rate
- support vector machine svm
- information processing
- feature vectors
- disease diagnosis
- feature space
- feature extractors
- disease outbreaks
- fundus images
- face recognition
- feature selection