Artificial intelligence in screening, diagnosis, and classification of diabetic macular edema: a systematic review

MH Shahriari, H Sabbaghi, F Asadi, A Hosseini… - Survey of …, 2023 - Elsevier
We review the application of artificial intelligence (AI) techniques in the screening,
diagnosis, and classification of diabetic macular edema (DME) by searching six databases …

Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive …

B Lalithadevi, S Krishnaveni - Concurrency and Computation …, 2022 - Wiley Online Library
Diabetes mellitus is a chronic disorder disease in which a person's body fails to adhere
insulin produced by their pancreas or unable to segregate enough insulin due to harmonic …

Fundus images-based detection and grading of macular edema using robust macula localization

AM Syed, MU Akram, T Akram, M Muzammal… - IEEE …, 2018 - ieeexplore.ieee.org
The macula is an oval-shaped area near the center of the human retina, and at its center,
there is a small pit known as the fovea. The fovea contains large concentrations of cone cells …

A review of methods for automatic detection of macular edema

A Ajaz, H Kumar, D Kumar - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Diabetic Macular Edema (DME) is a sight-threating complication of diabetic
retinopathy (DR) and the major cause of vision impairment in people with diabetes. Damage …

Automatic detection and grading of diabetic macular edema based on a deep neural network

X Guo, X Lu, B Zhang, X Hu, S Che - Retina, 2022 - journals.lww.com
Purpose: To solve the problem of automatic grading of macular edema in retinal images in a
more stable and reliable way and reduce the workload of ophthalmologists, an automatic …

Infrared retinal images for flashless detection of macular edema

A Ajaz, DK Kumar - Scientific Reports, 2020 - nature.com
This study evaluates the use of infrared (IR) images of the retina, obtained without flashes of
light, for machine-based detection of macular oedema (ME). A total of 41 images of 21 …

DMERCNET: A quirky deep learning classifier for diabetic retinopathy and macular edema risk using CNN

SS Gadde, KVD Kiran - 2022 IEEE Delhi Section Conference …, 2022 - ieeexplore.ieee.org
Since past two decades the research in Deep Learning is highly accelerative. The power of
deep learning is being unleashed by using it widely in numerous applications and domains …

Robust detection of exudates using fundus images

AM Syed, MU Akbar, A Ahmed… - 2018 IEEE 21st …, 2018 - ieeexplore.ieee.org
Human eye is a combination of different components to provide a 3 dimensional color
image. Macula is considered as the most sensitive part of the eye which enables the crispest …

Fundus image-based macular edema detection using convolutional neural network

C Aravindan, V Sharma, A Thaarik Ahamed… - Advances in Systems …, 2021 - Springer
Macular disorders are a set of diseases that damage the macula in retina. They give rise to
distorted vision and in some cases may even lead to visual impairment. Macular edema …

Convolutional Neural Network-Based Detection and Classification of Cardiovascular Disease and Diabetic Macular Edema

R Senthamizh Selvi, S Bragadesh Bharatwaj… - Micro-Electronics and …, 2021 - Springer
Artificial intelligence is one of the most advanced and prominent research areas which is
used to solve several worldly problems. Traditional methods take up a lot of the doctor's time …