Abstract

The DualModal2019 is a dual-modal fundus image dataset. It is for vessel, arteriole, and venule segmentation tasks. The dataset consists of five types of images: RGB color images, the 570 nm and 610 nm monochromic images, and the corresponding manually annotated ground truth images of the arterioles and venules.

Comments

The dual-modal fundus images were acquired using a dual-modal fundus imaging system (OT-110M, Hefei Orbis Biotech LTD., China). The system provides a field of view of 45 degrees using a xenon lamp as the light source; it captures images of 570 nm, 610 nm and RGB channels simultaneously.

Submitted by Mingzhai Sun on Fri, 02/22/2019 - 01:14

thanks

Submitted by Priyank Saxena on Thu, 12/23/2021 - 02:32

hard to download ...

Submitted by Lei Wang on Fri, 01/20/2023 - 01:53

thanks

Submitted by Li Yang on Sat, 05/04/2024 - 06:51

Dataset Files

The dual-modal fundus image dataset for vessel, arteriole and venule segmentation tasks DualModal2019.zip (50.44 MB)

Datasets

Standard Dataset

DualModal2019 dataset

Abstract

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Dataset Files

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