Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification

Published: 6 Jan 2018 | Version 2 | DOI: 10.17632/rscbjbr9sj.2

Description of this data

Dataset of validated OCT and Chest X-Ray images described and analyzed in "Deep learning-based classification and referral of treatable human diseases". The OCT Images are split into a training set and a testing set of independent patients. OCT Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL.

Experiment data files

Steps to reproduce

Instructions found in README

Latest version


Views: 54278
Downloads: 22471

Previous versions

  • Version 2


    Published: 2018-01-06

    DOI: 10.17632/rscbjbr9sj.2

    Cite this dataset

    Kermany, Daniel; Zhang, Kang; Goldbaum, Michael (2018), “Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification”, Mendeley Data, v2

  • Version 1


Compare to version


University of California San Diego


Applied Sciences


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.