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 …
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
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 …
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 …
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
Supervised deep learning has achieved prominent success in various diabetic macular
edema (DME) recognition tasks from optical coherence tomography (OCT) volumetric …
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 …
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
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 …
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
Deep learning has achieved remarkable success in the optical coherence tomography
(OCT) image classification task with substantial labelled B-scan images available. However …
(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
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 …
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
Background Spectral domain optical coherence tomography (OCT)(SD-OCT) is most widely
imaging equipment used in ophthalmology to detect diabetic macular edema (DME). Indeed …
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
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) …
the identification of patients with retinal diseases such as Diabetic Macular Edema (DME) …