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DualModal2019 dataset
- Citation Author(s):
- Submitted by:
- Mingzhai Sun
- Last updated:
- Tue, 05/17/2022 - 22:17
- DOI:
- 10.21227/wbpy-mf57
- Research Article Link:
- License:
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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.
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