Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma.
Ryusuke WatanabeChisako MuramatsuKyoko IshidaAkira SawadaYuji HatanakaTetsuya YamamotoHiroshi FujitaPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- automated detection
- early diagnosis
- dermoscopy images
- retinal fundus images
- blood vessels
- retinal images
- lung cancer
- convolutional network
- convolutional neural networks
- early detection
- computer aided
- automated analysis
- early stage
- low contrast
- optic disc
- computer aided diagnosis
- region of interest
- cardiovascular disease
- feature extractor
- coarse to fine
- prostate cancer
- skin cancer
- medical images
- multiresolution
- image analysis