An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation
Objective: Deep learning based methods for retinal vessel segmentation are usually trained
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to …
A three-stage deep learning model for accurate retinal vessel segmentation
Automatic retinal vessel segmentation is a fundamental step in the diagnosis of eye-related
diseases, in which both thick vessels and thin vessels are important features for symptom …
diseases, in which both thick vessels and thin vessels are important features for symptom …
Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores
This paper presents a robust and fully automatic filter-based approach for retinal vessel
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
segmentation. We propose new filters based on 3D rotating frames in so-called orientation …
A fully convolutional neural network based structured prediction approach towards the retinal vessel segmentation
Automatic segmentation of retinal blood vessels from fundus images plays an important role
in the computer aided diagnosis of retinal diseases. The task of blood vessel segmentation …
in the computer aided diagnosis of retinal diseases. The task of blood vessel segmentation …
Blood vessel segmentation from fundus image by a cascade classification framework
Accurate segmentation of retinal vessel from fundus image is a prerequisite for the computer-
aided diagnosis of ophthalmology diseases. In this paper, we propose a novel and robust …
aided diagnosis of ophthalmology diseases. In this paper, we propose a novel and robust …
An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering
Background and objective: Automatic segmentation of retinal blood vessels makes a major
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
contribution in CADx of various ophthalmic and cardiovascular diseases. A procedure to …
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning
Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding
blindness. Accurate retinal vessel segmentation plays an important role in disease …
blindness. Accurate retinal vessel segmentation plays an important role in disease …
Recent advancements in retinal vessel segmentation
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis,
early treatment and surgery planning of ocular diseases. For the last two decades, a …
early treatment and surgery planning of ocular diseases. For the last two decades, a …