Data for: Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks

The most significant retinal layer boundaries that were visibly distinguishable on these images were segmented: ILM (Internal Limiting Membrane), IPL-INL (Inner Plexiform Layer - Inner Nuclear Layer), INL-OPL (Inner Nuclear Layer - Outer Plexiform Layer), OPL-ONL (Outer Plexiform Layer - Outer Nuclear Layer), IS-OS (Inner Segment - Outer Segment), RPE (Retinal Pigment Epithelium). The database contains the original rodent oct images obtained from circular scans, expert-reviewed segmentation (ground truth) and several automatic segmentation results for comparison purposes.

This database must be loaded with MATLAB. For more information, see Sandra Morales, Adrián Colomer, José M. Mossi, Rocío del Amor, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo, Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks, Computer Methods and Programs in Biomedicine, Volume 198, 2021, 105788, ISSN 0169-2607, doi.org/10.1016/j.cmpb.2020.105788.