Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood.
Chisako MuramatsuKyoko IshidaAkira SawadaYuji HatanakaTetsuya YamamotoHiroshi FujitaPublished in: Medical Imaging: Computer-Aided Diagnosis (2016)
Keyphrases
- false positives
- automated detection
- fundus images
- blood vessels
- retinal blood vessels
- vascular tree
- retinal images
- false negative
- optical coherence tomography
- optic disc
- automated analysis
- true positive
- false positive rate
- detection rate
- low contrast
- lung cancer
- vessel segmentation
- low false positive rate
- vessel tree
- diabetic retinopathy
- retinal vessel
- cross sectional
- medical imaging
- video analysis
- face detection
- image segmentation