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 …
Computer-aided diagnosis of glaucoma using fundus images: A review
Background and objectives Glaucoma is an eye condition which leads to permanent
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
DUNet: A deformable network for retinal vessel segmentation
Automatic segmentation of retinal vessels in fundus images plays an important role in the
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
CNNs for automatic glaucoma assessment using fundus images: an extensive validation
Background Most current algorithms for automatic glaucoma assessment using fundus
images rely on handcrafted features based on segmentation, which are affected by the …
images rely on handcrafted features based on segmentation, which are affected by the …
Disc-aware ensemble network for glaucoma screening from fundus image
Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing
automatic screening methods first segment the main structure and subsequently calculate …
automatic screening methods first segment the main structure and subsequently calculate …
Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images
Glaucoma is a major global cause of blindness. As the symptoms of glaucoma appear, when
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
An ensemble deep learning based approach for red lesion detection in fundus images
Background and objectives: Diabetic retinopathy (DR) is one of the leading causes of
preventable blindness in the world. Its earliest sign are red lesions, a general term that …
preventable blindness in the world. Its earliest sign are red lesions, a general term that …
Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network
Fundus imaging is a retinal image modality for capturing anatomical structures and
abnormalities in the human eye. Fundus images are the primary tool for observation and …
abnormalities in the human eye. Fundus images are the primary tool for observation and …
A combined convolutional and recurrent neural network for enhanced glaucoma detection
Glaucoma, a leading cause of blindness, is a multifaceted disease with several patho-
physiological features manifesting in single fundus images (eg, optic nerve cup**) as well …
physiological features manifesting in single fundus images (eg, optic nerve cup**) as well …