Published February 7, 2023 | Version 1.1
Dataset Open

Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low Contrast Sclerocho-roidal Junction Using Deep Learning

Creators

  • 1. Durham University
  • 2. Retina Ward, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran

Description

This project aims to calculate Choroid Vascularity Index (CVI) in optical coherenece tomography (OCT) images, using loss modified U-Net. The method is detailed in "Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning". The dataset consists of Enhanced-depth imaging optical coherence tomography images from two patient groups.

• First dataset is including Raster OCT B-scans from patients with diabetic retinopathy.

• Second dataset is including EDI-HD OCT B-scans from patients with pachychoroid spectrum.

Notes

Please site the following paper if you used this dataset: Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning

Files

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