Automated detection of retinal landmarks for the identification of clinically relevant regions in fundus photography.
Giovanni OmettoFrancesco CaliváBashir Al-DiriToke BekAndrew HunterPublished in: Medical Imaging: Image Processing (2016)
Keyphrases
- diabetic retinopathy
- retinal images
- automated detection
- clinically relevant
- blood vessels
- fundus images
- region of interest
- automated analysis
- optic disc
- lung cancer
- ultrasonic images
- optical coherence tomography
- age related macular degeneration
- breast tumors
- digital images
- dermoscopy images
- image processing
- digital camera
- segmentation scheme
- cell nuclei
- image regions
- input image
- image segmentation
- machine learning
- data mining