Recent trends and advances in fundus image analysis: A review

S Iqbal, TM Khan, K Naveed, SS Naqvi… - Computers in Biology and …, 2022 - Elsevier
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Computer-aided diagnosis of glaucoma using fundus images: A review

Y Hagiwara, JEW Koh, JH Tan, SV Bhandary… - Computer methods and …, 2018 - Elsevier
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 …

Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

JI Orlando, H Fu, JB Breda, K Van Keer… - Medical image …, 2020 - Elsevier
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 …

DUNet: A deformable network for retinal vessel segmentation

Q **, Z Meng, TD Pham, Q Chen, L Wei… - Knowledge-Based Systems, 2019 - Elsevier
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 …

CNNs for automatic glaucoma assessment using fundus images: an extensive validation

A Diaz-Pinto, S Morales, V Naranjo, T Köhler… - Biomedical engineering …, 2019 - Springer
Background Most current algorithms for automatic glaucoma assessment using fundus
images rely on handcrafted features based on segmentation, which are affected by the …

Disc-aware ensemble network for glaucoma screening from fundus image

H Fu, J Cheng, Y Xu, C Zhang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …

Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images

S Sreng, N Maneerat, K Hamamoto, KY Win - Applied Sciences, 2020 - mdpi.com
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 …

An ensemble deep learning based approach for red lesion detection in fundus images

JI Orlando, E Prokofyeva, M Del Fresno… - Computer methods and …, 2018 - Elsevier
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 …

Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network

N Gour, P Khanna - Biomedical signal processing and control, 2021 - Elsevier
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 …

A combined convolutional and recurrent neural network for enhanced glaucoma detection

S Gheisari, S Shariflou, J Phu, PJ Kennedy, A Agar… - Scientific reports, 2021 - nature.com
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 …