A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images

B Goutam, MF Hashmi, ZW Geem, ND Bokde - IEEE Access, 2022 - ieeexplore.ieee.org
retinal disease diagnoses using a wide variety of visual markers obtained from eye fundus
images… times for the diagnosis of five major eye diseases, ie, Diabetic retinopathy, Glaucoma, …

Ocular diseases diagnosis in fundus images using a deep learning: approaches, tools and performance evaluation

Y Elloumi, M Akil, H Boudegga - … Image Processing and Deep …, 2019 - spiedigitallibrary.org
… In fact, the fundus images illustrate several retinal … The ocular pathologies lead either to
reform retinal components or/and … similar characteristics than other retinal components or other …

[PDF][PDF] Glaucoma-deep: detection of glaucoma eye disease on retinal fundus images using deep learning

Q Abbas - … Journal of Advanced Computer Science and …, 2017 - pdfs.semanticscholar.org
… glaucoma of 101 retinal fundus images. The HRF-dataset was also used to automatic
diagnosis the glaucoma disorder [15]. In this study, the 15 retinal fundus images for each category …

Digital ocular fundus imaging: a review

R Bernardes, P Serranho, C Lobo - Ophthalmologica, 2011 - karger.com
… best possible fundus images [3]. This review focuses on digital imaging of the human eye
fundus and … Besides the diagnosis of ocular diseases, retinal imaging also allows the detection, …

[HTML][HTML] Development of a fundus image-based deep learning diagnostic tool for various retinal diseases

KM Kim, TY Heo, A Kim, J Kim, KJ Han, J Yun… - Journal of Personalized …, 2021 - mdpi.com
… Based on the category of AMD in age-related eye disease [20], drusen types corresponding
to categories 2 and 3 were defined as dAMD (58 eyes). DR (95 eyes) was diagnosed based …

[HTML][HTML] Application of an anomaly detection model to screen for ocular diseases using color retinal fundus images: design and evaluation study

Y Han, W Li, M Liu, Z Wu, F Zhang, X Liu, L Tao… - Journal of medical …, 2021 - jmir.org
… model based on normal retinal fundus images for the detection of ocular diseases. Our
secondary … ocular diseases, DR of different severity grades, and a variety of fundus abnormalities. …

Fundus image analysis for the detection of diabetic eye diseases-a review

K Noronha, KP Nayak - 2012 International Conference on …, 2012 - ieeexplore.ieee.org
… With the recent developments in the field of automated detection of diabetic eye diseases,
one can analyze the retinal fundus images and detect the diabetic retinal pathologies without …

Retinal fundus image analysis for diagnosis of glaucoma: a comprehensive survey

VS Mary, EB Rajsingh, GR Naik - IEEE Access, 2016 - opus.lib.uts.edu.au
… important in the case of ocular diseases. Hence, an automated diagonosis is essential for
retinal diseases. A new system, known as Retinal Image Vessel Extraction and Registration …

Modeling and enhancing low-quality retinal fundus images

Z Shen, H Fu, J Shen, L Shao - … on medical imaging, 2020 - ieeexplore.ieee.org
… Our method can also assist ophthalmologists in ocular disease diagnosis through retinal
fundus image observation and analysis, while also being beneficial to automated …

[HTML][HTML] Retinal fundus multi-disease image dataset (RFMiD): a dataset for multi-disease detection research

S Pachade, P Porwal, D Thulkar, M Kokare… - Data, 2021 - mdpi.com
ocular disease classification of frequent diseases along … Retinal Fundus Multi-disease
Image Dataset (RFMiD). It consists of 3200 fundus images captured using three different fundus