Artelus Publications

Comparative Analysis of AI and Ophthalmologist Grading in Diabetic Retinopathy Detection

28 Jan, 2026

Automated retinal image analysis systems to triage for grading of diabetic retinopathy - a large-scale, open-label, national screening programme in England

24 Nov, 2025

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation - A StyleGAN3 Approach

01 Jan, 2025

OCT image interpretation using Deep Learning and explainable AI

02 Dec, 2023

Diabetes Novel Subgroup Assessment (DIANA)- Advanced Machine Learning-Based tool to classify individuals

22 Jun, 2022

Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis

27 May, 2020

WVNet augmented diagnosis - the potential of deep learning to assist radiologists

27 Mar, 2020

Optic Cup to Disc Ratio Calculation using Deep Convolutional Network.

06 Apr, 2019

Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

25 Jun, 2018

Rethinking Convolutional Semantic Segmentation Learning

22 Oct, 2017

Diabetic Retinopathy Screening using Deep Learning Technology

08 Aug, 2017

Deep Learning - Generalization Requires Deep Compositional Feature Space Design

08 Jul, 2017

The Deep Learning Computer model in reading Diabetic Retinopathy & Normal Images

08 May, 2017

The Deep Learning Model based Computer solution in reading Diabetic Retinopathy & Normal Images

05 Apr, 2017

Towards Human Level Accurate Deep Learning System for Diabetic Reinopathy Screening

08 Mar, 2017

The Deep Learning Computer model in reading Diabetic Retinopathy & Normal Images

05 Mar, 2017

Bringing Healthcare to the "Forgotten Billions"

The foundational ethos of Artelus is encapsulated in its forward-thinking vision: Leveraging state-of-the-art Deep Learning architectures to democratize healthcare for the "Forgotten Billions".

At Artelus.ai, we are dedicated to advancing eye care through innovative technology and comprehensive solutions, making high-quality diagnostics accessible to all.

Join us in revolutionizing healthcare and improving the lives of millions around the world.

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