Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
Donghuan LuMorgan HeislerSieun LeeGavin Weiguang DingEduardo NavajasMarinko V. SarunicMirza Faisal BegPublished in: Medical Image Anal. (2019)
Keyphrases
- oct images
- multi class
- optical coherence tomography
- fundus images
- deep learning
- object detection
- optic disc
- image analysis
- retinal images
- segmentation algorithm
- pairwise
- blood vessels
- automated segmentation
- support vector machine
- segmentation method
- imaging modalities
- object recognition
- unsupervised learning
- input image
- feature selection
- neural network
- test images
- image classification
- pattern recognition
- feature extraction
- machine learning
- object segmentation
- coronary artery
- object detectors
- partial occlusion
- image annotation
- high dimensional
- image registration
- knn