A review on recent developments for detection of diabetic retinopathy

J Amin, M Sharif, M Yasmin - Scientifica, 2016 - Wiley Online Library
Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …

CNN-hyperparameter optimization for diabetic maculopathy diagnosis in optical coherence tomography and fundus retinography

G Atteia, N Abdel Samee, ESM El-Kenawy, A Ibrahim - Mathematics, 2022 - mdpi.com
Diabetic Maculopathy (DM) is considered the most common cause of permanent visual
impairment in diabetic patients. The absence of clear pathological symptoms of DM hinders …

[HTML][HTML] Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

[HTML][HTML] Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images

X Wang, F Tang, H Chen, CY Cheung, PA Heng - Medical Image Analysis, 2023 - Elsevier
Supervised deep learning has achieved prominent success in various diabetic macular
edema (DME) recognition tasks from optical coherence tomography (OCT) volumetric …

FN-OCT: Disease detection algorithm for retinal optical coherence tomography based on a fusion network

Z Ai, X Huang, J Feng, H Wang, Y Tao… - Frontiers in …, 2022 - frontiersin.org
Optical coherence tomography (OCT) is a new type of tomography that has experienced
rapid development and potential in recent years. It is playing an increasingly important role …

Multilevel deep feature generation framework for automated detection of retinal abnormalities using OCT images

PD Barua, WY Chan, S Dogan, M Baygin, T Tuncer… - Entropy, 2021 - mdpi.com
Optical coherence tomography (OCT) images coupled with many learning techniques have
been developed to diagnose retinal disorders. This work aims to develop a novel framework …

UD-MIL: uncertainty-driven deep multiple instance learning for OCT image classification

X Wang, F Tang, H Chen, L Luo, Z Tang… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Deep learning has achieved remarkable success in the optical coherence tomography
(OCT) image classification task with substantial labelled B-scan images available. However …

Classification of SD‐OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

G Lemaître, M Rastgoo, J Massich… - Journal of …, 2016 - Wiley Online Library
This paper addresses the problem of automatic classification of Spectral Domain OCT (SD‐
OCT) data for automatic identification of patients with DME versus normal subjects. Optical …

Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images

K Alsaih, G Lemaitre, M Rastgoo, J Massich… - Biomedical engineering …, 2017 - Springer
Background Spectral domain optical coherence tomography (OCT)(SD-OCT) is most widely
imaging equipment used in ophthalmology to detect diabetic macular edema (DME). Indeed …

[HTML][HTML] An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images

D Sidibe, S Sankar, G Lemaitre, M Rastgoo… - Computer methods and …, 2017 - Elsevier
This paper proposes a method for automatic classification of spectral domain OCT data for
the identification of patients with retinal diseases such as Diabetic Macular Edema (DME) …