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The Foveal Avascular Zone Image Database (FAZID)

Version
2
Resource Type
Dataset
Creator
  • Agarwal, Arpit (Indian Institute of Technology, Kanpur)
  • Jothi Balaji, J (Department of Optometry, Medical Research Foundation, Chennai)
  • Raman, Rajiv (Shri Bhagwan Mahavir Vitreoretinal Services, Medical Research Foundation, Chennai)
  • Lakshminarayanan, Vasudevan (cTheoretical and Experimental Epistemology Lab, School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada)
Publication Date
2020-07-25
Funding Reference
  • NSERC CANADA DISCOVERY GRANT (VL)
Free Keywords
[Diabetes; Myopia; , image segmentation; , Foveal Avascular Zone; image segmentation; image database; ophthalmology; , Optical Coherence Tomography Angiography; ]
Description
  • Abstract

    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.

    Please use the following citation if you use the database “Jothi Balaji, J.; Agarwal, A.; Raman, R., et al., Comparison of Foveal Avascular Zone in Diabetic Retinopathy, High Myopia and Normal Fundus images. Ophthalmic Technologies XXX, Vol 11218-59. Proc. SPIE (2020).” (To be appeared)
Availability
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Relations
  • Is version of
    DOI: 10.3886/E117543

Update Metadata: 2020-07-25 | Issue Number: 1 | Registration Date: 2020-07-25

Agarwal, Arpit; Jothi Balaji, J; Raman, Rajiv; Lakshminarayanan, Vasudevan (2020): The Foveal Avascular Zone Image Database (FAZID). Version: 2. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E117543V2