CAVRI-C: Vessels segmentation from OCT 3D scans

This database contains 24 3D optical coherence tomography (OCT) scans of 24 healthy subjects, with an average age of 27. The images were collected using the Avanti RTvue device with a 3D Retina scanning protocol (volumetric scan with 141 cross-sections). This dataset also contains manually segmented retina vessels for the OCT-reconstructed fundus images.

This dataset was created as part of research conducted within the CAVRI (Computer Analysis of the VitreoRetinal Interface) project (https://dsp.put.poznan.pl/projektresearch/).

Please cite the following papers when using this dataset:
Marciniak T., Stankiewicz A., Dąbrowski A., Stopa M., Rakowicz P., Marciniak E. Measurement of retina vessels by segmentation of images reconstructed from optical coherence tomography data. Metrology and Measurement Systems, 26(3), 449-461, 2019, DOI: 10.24425/mms.2019.129581

Marciniak T, Stankiewicz A, Zaradzki P. Neural Networks Application for Accurate Retina Vessel Segmentation from OCT Fundus Reconstruction. Sensors, 23(4):1870, 2023, DOI: 10.3390/s23041870 , https://www.mdpi.com/1424-8220/23/4/1870