This paper presents an automated measurement of retinal artery and vein blood vessels using the state-of-the-art deep learning architectures.

Abstract—This paper presents an automated measurement of retinal artery and vein blood vessels using the state-of-the-art deep learning architectures. The ...

PDF | On Oct 31, 2023, Maninder Singh and others published Development and Validation of Artery-Vein Ratio Measurement Based on Deep Learning Architectures |

Abstract. Purpose. To develop a novel evaluation system for retinal vessel alterations caused by hypertension using a deep learning algorithm.

Development and Validation of Artery-Vein Ratio Measurement Based on Deep Learning Architectures. M Singh, R Gupta, B Kumar, D Agrawal. TENCON 2023-2023 IEEE ...

We propose a convolutional neural network (CAVnet) to classify retinal blood vessels on montaged widefield OCTA en face images as arteries and veins.

Mar 21, 2022 · We aim to develop and validate an artificial intelligence system (Retina-based Microvascular Health Assessment System, RMHAS) for fully automated vessel ...

Based on their cross-validation results, they reported an average IOU, F1, and accuracy of 78.02%, 87.65%, and 86.33%, respectively. In addition to their ...

Missing: Validation | Show results with:Validation

Overview of the proposed approach in AVR Measurement. Development and Validation of Artery-Vein Ratio Measurement Based on Deep Learning Architectures.