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The Foveal Avascular Zone Image Database (FAZID)

Principal Investigator(s):  View help for Principal Investigator(s) Arpit Agarwal, Indian Institute of Technology, Kanpur; Jothi Balaji J, Department of Optometry, Medical Research Foundation, Chennai; Rajiv Raman, Shri Bhagwan Mahavir Vitreoretinal Services, Medical Research Foundation, Chennai; Vasudevan Lakshminarayanan, cTheoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

Version:  View help for Version V1

Name File Type Size Last Modified
Diabetic.zip application/zip 21.3 MB 02/09/2020 07:27:PM
Myopia.zip application/zip 21.2 MB 02/09/2020 07:16:PM
Normals.zip application/zip 17.3 MB 02/09/2020 07:22:PM

Project Citation: 

Agarwal, Arpit, J, Jothi Balaji, Raman, Rajiv, and Lakshminarayanan, Vasudevan. The Foveal Avascular Zone Image Database (FAZID). Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-02-10. https://doi.org/10.3886/E117543V1

Project Description

Summary:  View help for Summary The Foveal Avascular Zone (FAZ) is of clinical importance since the vascular arrangement around the fovea changes with disease and refractive state of the eye. In order to test and validate newly developed automated segmentation algorithms, we have created a public dataset of these retinal fundus images consisting of a total of 304 different images classified into: Diabetic (107), Myopic (109) and Normal (88) eyes. The images are of dimensions 420 x 420 pixels corresponding to 6mm x 6mm dimension of the retina. For each type of image, clear and manually segmented by a clinical expert (ground truth) are available.
Funding Sources:  View help for Funding Sources NSERC CANADA DISCOVERY GRANT (VL)

Scope of Project

Subject Terms:  View help for Subject Terms Diabetes; Myopia; Foveal Avascular Zone; image segmentation; image database; ophthalmology; image segmentation; Optical Coherence Tomography Angiography


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Published Versions

V2 [2020-07-25]

V1 [2020-02-10]

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