A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model

M Elsharkawy, A Sharafeldeen, A Soliman, F Khalifa… - Diagnostics, 2022 - mdpi.com
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …

Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images

A Sharafeldeen, M Elsharkawy, F Khalifa, A Soliman… - Scientific Reports, 2021 - nature.com
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …

Optimal feature selection for COVID-19 detection with CT images enabled by metaheuristic optimization and artificial intelligence

DA Torse, R Khanai, K Pai, S Iyer… - Multimedia Tools and …, 2023 - Springer
There is a broad range of novel Coronaviruses (CoV) such as the common cold, cough, and
severe lung infections. The mutation of this virus, which originally started as COVID-19 in …

Detection of exudates from retinal images for non-proliferative diabetic retinopathy detection using deep learning model

P Saranya, KM Umamaheswari - Multimedia Tools and Applications, 2024 - Springer
Diabetes is considered to be the foundation of a slew of other health issues and late
consequences, according to medical experts. The rise in diabetes-related illnesses has …

An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients

WWY Ng, H Liang, Q Peng, C Zhong, X Dong… - International Journal of …, 2022 - Springer
The number of patient suffering from complex congenital heart diseases (CHDs) increases
gradually each year. The perioperative parameters assessment of complex CHDs patients is …

Efficient diabetic retinopathy diagnosis through U-Net–KNN integration in retinal fundus images

V Selvakumar, C Akila - Automatika: časopis za automatiku, mjerenje …, 2023 - hrcak.srce.hr
Sažetak Diabetic retinopathy (DR) is a retinal disorder that may lead to blindness in people
all over the world. The major cause of DR is diabetes for a longer period and early detection …

Early identification of diabetic retinopathy through a computer-assisted diagnostic system and a higher-order spatial appearance model of 3D-OCT

M Elsharkawy, A Sharafeldeen… - Photo Acoustic and …, 2023 - iopscience.iop.org
The timely detection of diabetic retinopathy (DR) is crucial to prevent serious harm to the
optic nerve and potential visualization damage. This research proposes a computer-aided …

The Fusion of Features for Detection of Clinical Symptoms of Diabetic Retinopathy and its Grading from Digital Fundus Images

P Bannigidad, A Deshpande - International Journal of Computer …, 2021 - cspub-ijcisim.org
Diabetic Retinopathy is a recurrent retinal disorder that can affect patients with both type 1
and type 2 diabetes. From a large amount of data available, it is apparent that Diabetic …

The Fusion of Features for Detection of Cotton Wool Spots in Digital Fundus Images

P Bannigidad, A Deshpande - … of the 12th International Conference on Soft …, 2021 - Springer
Abstract The Cotton Wool Spots are lesions seen on the surface of the retina among diabetic
patients. It indicates a pre-proliferative Diabetic Retinopathy state and needs to be treated …

Automated Detection and Counting of Red-Dots from Digital Fundus Images

P Bannigidad, A Deshpande - … : Proceedings of ICT4SD 2020, Volume 2, 2021 - Springer
Diabetic Retinopathy is an eye complication that occurs among patients suffering from type 1
and type 2 diabetes. The earliest clinical features of Non-proliferative Diabetic Retinopathy …