PRIME-FP20: Ultra-Widefield Fundus Photography Vessel Segmentation Dataset

Citation Author(s):
Li
Ding
University of Rochester
Ajay E.
Kuriyan
Retina Service, Wills Eye Hospital
Rajeev S.
Ramchandran
University of Rochester
Charles C.
Wykoff
Houston Methodist Hospital
Gaurav
Sharma
University of Rochester
Submitted by:
Li Ding
Last updated:
Sun, 09/27/2020 - 15:31
DOI:
10.21227/ctgj-1367
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Abstract 

The PRIME-FP20 dataset is established for development and evaluation of retinal vessel segmentation algorithms in ultra-widefield (UWF) fundus photography (FP). PRIME-FP20 provides 15 high-resolution UWF FP images acquired using the Optos 200Tx camera (Optos plc, Dunfermline, United Kingdom), the corresponding labeled binary vessel maps, and the corresponding binary masks for the valid data region for the images. For each UWF FP image, a concurrently captured UWF fluorescein angiography (FA) is also included. 

Instructions: 

UWF FP images, UWF FA images, labeled UWF FP vessel maps, and binary UWF FP validity masks are provided, where the file names indicate the correspondence among them.

 

Users of the dataset should cite the following paper

L. Ding, A. E. Kuriyan, R. S. Ramchandran, C. C. Wykoff, and G. Sharma, ``Weakly-supervised vessel detection in ultra-widefield fundus photography via iterative multi-modal registration and learning,'' IEEE Trans. Medical Imaging, accepted for publication, to appear.