Cargando…

RDS-DR: An Improved Deep Learning Model for Classifying Severity Levels of Diabetic Retinopathy

A well-known eye disorder called diabetic retinopathy (DR) is linked to elevated blood glucose levels. Cotton wool spots, confined veins in the cranial nerve, AV nicking, and hemorrhages in the optic disc are some of its symptoms, which often appear later. Serious side effects of DR might include vi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bashir, Ijaz, Sajid, Muhammad Zaheer, Kalsoom, Rizwana, Ali Khan, Nauman, Qureshi, Imran, Abbas, Fakhar, Abbas, Qaisar
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572213/ https://www.ncbi.nlm.nih.gov/pubmed/37835859 http://dx.doi.org/10.3390/diagnostics13193116

Ejemplares similares

DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model
por: Sajid, Muhammad Zaheer, et al.
Publicado: (2023)

MixNet-LD: An Automated Classification System for Multiple Lung Diseases Using Modified MixNet Model
por: Ahoor, Ayesha, et al.
Publicado: (2023)

Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture
por: Sajid, Muhammad Zaheer, et al.
Publicado: (2023)

HDR-EfficientNet: A Classification of Hypertensive and Diabetic Retinopathy Using Optimize EfficientNet Architecture
por: Abbas, Qaisar, et al.
Publicado: (2023)

Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images
por: Shaheed, Kashif, et al.
Publicado: (2023)

An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture
por: Abbas, Qaisar, et al.
Publicado: (2021)

RDS-NExT workshop: consensus statements for the use of surfactant in preterm neonates with RDS
por: Bhandari, Vineet, et al.
Publicado: (2023)

RDS: the radio data system
por: Kopitz, Dietmar, et al.
Publicado: (1999)

ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection †
por: Yaqoob, Muhammad Kashif, et al.
Publicado: (2021)

Classifying retinopathy of prematurity
por: Molinari, Andrea, et al.
Publicado: (2017)

Estimating Vertex Measures in Social Networks by Sampling Completions of RDS Trees
por: Khan, Bilal, et al.
Publicado: (2015)

CAD-ALZ: A Blockwise Fine-Tuning Strategy on Convolutional Model and Random Forest Classifier for Recognition of Multistage Alzheimer’s Disease
por: Abbas, Qaisar, et al.
Publicado: (2023)

Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions
por: Arshad, Sannia, et al.
Publicado: (2023)

LocaRDS: A Localization Reference Data Set
por: Schäfer, Matthias, et al.
Publicado: (2021)

Effects of Porosity and Mixed Convection on MHD Two Phase Fluid Flow in an Inclined Channel
por: Hasnain, Jafar, et al.
Publicado: (2015)

An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning
por: Erciyas, Abdüssamed, et al.
Publicado: (2021)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
por: Ruamviboonsuk, Paisan, et al.
Publicado: (2019)

Sciebo RDS - reducing friction of FAIR data handling for researchers
por: Freitag, Richard, et al.
Publicado: (2023)

Initiation of Rod Outer Segment Disc Formation Requires RDS
por: Chakraborty, Dibyendu, et al.
Publicado: (2014)

Role of RDS and Rhodopsin in Cngb1-Related Retinal Degeneration
por: Chakraborty, Dibyendu, et al.
Publicado: (2016)

Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier
por: Shaheed, Kashif, et al.
Publicado: (2023)

3-Hydroxy-1,2,3,9-tetrahydropyrrolo[2,1-b]quinazolin-4-ium chloride dihydrate: (+)-vasicinol hydrochloride dihydrate from Peganum harmala L
por: Khan, Amir Muhammad, et al.
Publicado: (2009)

Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
por: Akram, Muhammad Usman, et al.
Publicado: (2020)

Frequency Modulation and Spatiotemporal Stability of the sCPG in Preterm Infants with RDS
por: Barlow, Steven M., et al.
Publicado: (2012)

Molecular Genetic Testing in Reward Deficiency Syndrome (RDS): Facts and Fiction
por: Blum, Kenneth, et al.
Publicado: (2015)

Regulation of PACAP receptors in respiratory distress syndrome (RDS) of preterms and newborns
por: Müller, MJ, et al.
Publicado: (2015)

Comparison of Complications and Efficacy of NIPPV and Nasal CPAP in Preterm Infants With RDS
por: Esmaeilnia, Tahereh, et al.
Publicado: (2016)

Techniques to evaluate surfactant activity for a personalized therapy of RDS neonates
por: Autilio, Chiara
Publicado: (2021)

A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography
por: Ryu, Gahyung, et al.
Publicado: (2022)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
por: Ruamviboonsuk, Paisan, et al.
Publicado: (2019)

DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems
por: Ramachandran, Divya, et al.
Publicado: (2023)

ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches
por: Rahman, Atta-ur, et al.
Publicado: (2022)

Perceived Threat of COVID-19 Contagion and Frontline Paramedics’ Agonistic Behaviour: Employing a Stressor–Strain–Outcome Perspective
por: Shahzad, Fakhar, et al.
Publicado: (2020)

Photoreceptor Disc Enclosure Occurs in the Absence of Normal Peripherin-2/rds Oligomerization
por: Lewis, Tylor R., et al.
Publicado: (2020)

Reward Deficiency Syndrome (RDS) Surprisingly Is Evolutionary and Found Everywhere: Is It “Blowin’ in the Wind”?
por: Blum, Kenneth, et al.
Publicado: (2022)

Evidence for the DRD2 Gene as a Determinant of Reward Deficiency Syndrome (RDS)
por: Blum, Kenneth, et al.
Publicado: (2023)

A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals
por: Ahmed, Alaa E. S., et al.
Publicado: (2023)

Diabetic retinopathy (DR): management and referral
Publicado: (2011)

Diabetic retinopathy (DR): management and referral
Publicado: (2015)

Minocycline delayed photoreceptor death in the rds mice through iNOS-dependent mechanism
por: Yang, Li-ping, et al.
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_a1sp6j1rcvt63hn9uffc1tvgpm