@article{,
title= {Labeled Optical Coherence Tomography (OCT)},
keywords= {},
author= {},
abstract= {Dataset of validated OCT 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.

```
  250 files in directory ./test/CNV
  250 files in directory ./test/DME
  250 files in directory ./test/DRUSEN
  250 files in directory ./test/NORMAL
37205 files in directory ./train/CNV
11348 files in directory ./train/DME
 8616 files in directory ./train/DRUSEN
26315 files in directory ./train/NORMAL
```

https://i.imgur.com/tsAGf0V.png


## Acknowledgements
Data: https://data.mendeley.com/datasets/rscbjbr9sj/2

License: CC BY 4.0

## Citation: 
Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.
http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5},
terms= {},
license= {CC BY 4.0},
superseded= {},
url= {https://data.mendeley.com/datasets/rscbjbr9sj/3}
}