Clinically applicable deep learning for diagnosis and referral in retinal disease (original) (raw)

Using deep learning to diagnose retinal diseases through medical image analysis

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Electrical and Computer Engineering (IJECE), 2024

View PDFchevron_right

Deep Learning on Retina Images as Screening Tool for Diagnostic Decision Support

Carlos Peña

arXiv (Cornell University), 2018

View PDFchevron_right

Deep Learning for Automated Diabetic Retinopathy Screening Fused With Heterogeneous Data From EHRs Can Lead to Earlier Referral Decisions

Jung-Tzu Liu

Translational Vision Science & Technology, 2021

View PDFchevron_right

The Classification of Common Macular Diseases Using Deep Learning on Optical Coherence Tomography Images with and without Prior Automated Segmentation

Sukhum Silpa-archa

Diagnostics

View PDFchevron_right

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

Michael Goldbaum

Cell, 2018

View PDFchevron_right

Applying Artificial Intelligence to Detect Retinal Diseases

Haitam Ettazi

Proceedings on Engineering Sciences

View PDFchevron_right

A Deep Learning-Based Framework for Retinal Disease Classification

nitish pathak

Healthcare

View PDFchevron_right

Revolutionizing eye disease diagnosis with deep learning and machine learning

Constantinos Koutsojannis

Zenodo (CERN European Organization for Nuclear Research), 2023

View PDFchevron_right

A Review of Deep Learning Methods Applied to Ocular Diseases Recognition and Detection

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

View PDFchevron_right

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Subhashini Venugopalan

Nature Communications

View PDFchevron_right

Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study

Ayesha Anees

The Lancet Digital Health, 2021

View PDFchevron_right

Deep Learning for Optic Disc Segmentation and Glaucoma Diagnosis on Retinal Images

noppadol maneerat

Applied Sciences

View PDFchevron_right

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program

Sukhum Silpa-archa

ArXiv, 2018

View PDFchevron_right

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

sebastian montenegro N20

Computer Methods and Programs in Biomedicine, 2019

View PDFchevron_right

Automated deep learning in ophthalmology: AI that can build AI

abdallah abbas

Current Opinion in Ophthalmology, 2021

View PDFchevron_right

A Novel Fusion Deep Learning Approach for Retinal Disease Diagnosis Enhanced by Web Application Predictive Tool

Joyece Jane, F M Javed Mehedi Shamrat

View PDFchevron_right

Application of deep learning for retinal image analysis: A review

muhammad haris haris

Computer Science Review, 2020

View PDFchevron_right

Deep learning to infer visual acuity from optical coherence tomography in diabetic macular edema

yu-bai Chou

Frontiers in Medicine

View PDFchevron_right

An Approach to Detect Eye Diseases Using Deep Learning

Lisha Varghese

Zenodo (CERN European Organization for Nuclear Research), 2023

View PDFchevron_right

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program

Sukhum Silpa-archa

npj Digital Medicine, 2019

View PDFchevron_right

Employing deep learning architectures for image-based automatic cataract diagnosis

Emrullah Acar

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2021

View PDFchevron_right

Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy

Marco Yu

npj Digital Medicine

View PDFchevron_right

Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning

Nawres KHLIFA

International Journal of Biomedical Imaging

View PDFchevron_right

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

Mengyu Jia

IEEE Transactions on Medical Imaging, 2020

View PDFchevron_right

Comparisonal study of Deep Learning approaches on Retinal OCT Image

nowshin tasnim

ArXiv, 2019

View PDFchevron_right

Deep-learning based, automated segmentation of macular edema in optical coherence tomography

Ramya Muthukrishnan

Biomedical optics express, 2017

View PDFchevron_right

Embedded deep learning in ophthalmology: making ophthalmic imaging smarter

Petteri Teikari

Therapeutic Advances in Ophthalmology

View PDFchevron_right

Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

Waqas Nadeem

Sensors

View PDFchevron_right