Redoxisome and diabetic retinopathy: Pathophysiology and therapeutic interventions
I Sharma, KS Yadav, MN Mugale - Pharmacological Research, 2022 - Elsevier
Diabetic retinopathy (DR) is a chronic microvascular complication of diabetes mellitus (DM).
It is a worldwide growing epidemic disease considered to be the leading cause of vision …
It is a worldwide growing epidemic disease considered to be the leading cause of vision …
Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
Alcoholism is a severe disorder that leads to brain problems and associated cognitive,
emotional and behavioral impairments. This disorder is typically diagnosed by a …
emotional and behavioral impairments. This disorder is typically diagnosed by a …
[HTML][HTML] Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy
R Wang, G Zuo, K Li, W Li, Z Xuan, Y Han… - Frontiers in …, 2022 - frontiersin.org
Background Artificial intelligence (AI), which has been used to diagnose diabetic retinopathy
(DR), may impact future medical and ophthalmic practices. Therefore, this study explored …
(DR), may impact future medical and ophthalmic practices. Therefore, this study explored …
Application of artificial intelligence in ophthalmology for the diagnosis and treatment of eye diseases
NY Ilyasova, NS Demin - Pattern Recognition and Image Analysis, 2022 - Springer
In this paper, we present the main aspects of artificial intelligence application in
ophthalmology for the diagnosis and treatment of eye diseases on the example of …
ophthalmology for the diagnosis and treatment of eye diseases on the example of …
Automated System for the Personalization of Retinal Laser Treatment in Diabetic Retinopathy Based on the Intelligent Analysis of OCT Data and Fundus Images
N Ilyasova, N Demin, A Shirokanev… - … of the 14th KES-IDT 2022 …, 2022 - Springer
In this work, we propose an automated system for the personalization of retina laser
treatment in diabetic retinopathy. The system comprises fundus images processing methods …
treatment in diabetic retinopathy. The system comprises fundus images processing methods …
[HTML][HTML] Decision-making support system for the personalization of retinal laser treatment in diabetic retinopathy
IN Yurievna, KD Victorovich - Компьютерная оптика, 2022 - cyberleninka.ru
The purpose of research to create automated personalization of diabetic macular edema
laser treatment. The results are based on analysis of large semi-structured data, methods …
laser treatment. The results are based on analysis of large semi-structured data, methods …
Diabetic Retinopathy Detection Using CNN Model
K Moin, M Shrivastava, A Mishra, L Jena… - Ambient Intelligence in …, 2022 - Springer
Abstract Detecting Diabetic Retinopathy (DR) using color fundus imaging requires trained
clinicians to understand the presence and importance of some minor features, which when …
clinicians to understand the presence and importance of some minor features, which when …
Application of Artificial Intelligence in Ophthalmology for Coagulate Map Formation to Carry Out Laser Eye Treatment
N Ilyasova, N Demin - International Conference on Pattern Recognition, 2022 - Springer
In this paper, we present the main points of artificial intelligence application in
ophthalmology for coagulate map formation to carry out laser eye treatment on the example …
ophthalmology for coagulate map formation to carry out laser eye treatment on the example …
Automated Detection of Diabetic Retinopathy using Modified Local Line Binary Pattern Based Feature
BJ Talukdar - 2022 - agnee.tezu.ernet.in
Medical image processing has played an important role in the advancement of healthcare,
particularly with the introduction of diagnostic imaging procedures such as magnetic …
particularly with the introduction of diagnostic imaging procedures such as magnetic …
Segmentation of Diabetic Retinopathy Using Entropy-Based Thresholding-A Review
Synthetic data by various algorithms that resemble actual data in terms of statistical features.
Computer-aided medical applications have been extensively applied to model specific …
Computer-aided medical applications have been extensively applied to model specific …