OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

This dataset is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. CSV file consists of file_name, disease, subcategory, condition, patient_id, eye, sex, year, image_width, and image_height. The dataset will be updated periodically.

For more information and details about the dataset see: arxiv.org/abs/2312.08255 @misc{kulyabin2023octdl, title={OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods}, author={Mikhail Kulyabin and Aleksei Zhdanov and Anastasia Nikiforova and Andrey Stepichev and Anna Kuznetsova and Mikhail Ronkin and Vasilii Borisov and Alexander Bogachev and Sergey Korotkich and Paul A Constable and Andreas Maier}, year={2023}, eprint={2312.08255}, archivePrefix={arXiv}, primaryClass={eess.IV} }