In this paper, we present a novel dataset, dubbed RAVIR, for the semantic segmentation of Retinal Arteries and Veins in Infrared Reflectance (IR) imaging. It enables the creation of deep learning-based models that distinguish extracted vessel type without extensive post-processing.

In this paper, we present a novel dataset, dubbed RAVIR, for the semantic segmentation of Retinal Arteries and Veins in Infrared Reflectance (IR) imaging. It enables the creation of deep learning-based models that distinguish extracted vessel type without extensive post-processing.

RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging Challenge. This is an implementation to solve this challenge.

2022年3月28日 · In this paper, we present a novel dataset, dubbed RAVIR, for the semantic segmentation of Retinal Arteries and Veins in Infrared Reflectance (IR) imaging. It enables the creation of deep learning-based models that distinguish extracted vessel type without extensive post-processing.

RAVIR (Retinal Arteries and Veins in Infrared Reflectance Imaging) is a dataset for semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging. The images in this dataset were acquired using infrared (wavelength greater than 815 nm) scanning laser ophthalmoscopy, with a field of view of 30 ...

RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging. IEEE Journal of Biomedical and Health Informatics.

2024年8月15日 · RAVIR（Retinal Arteries and Veins in Infrared Reflectance Imaging）是一个用于 红外反射成像 中 视网膜动脉 和静脉的 语义分割 与 定量分析 的数据集。该数据集中的图像均是使用红外（波长大于815nm）扫描激光检眼镜获取的，成像的视场角为30度，使得采样的图像具备 …

A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging

In this paper, we present a novel dataset, dubbed RAVIR, for the semantic segmentation of Retinal Arteries and Veins in Infrared Reflectance (IR) imaging. It enables the creation of deep learning-based models that distinguish extracted vessel type without extensive post-processing.

2023年11月4日 · In this paper, we present a novel dataset, dubbed RAVIR, for the semantic segmentation of Retinal Arteries and Veins in Infrared Reflectance (IR) imaging. It enables the creation of deep learning-based models that distinguish extracted vessel type without extensive post-processing. For more information, please refer to the dataset paper: