Dataset Release for "DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos"

The current dataset includes relevant object annotations being created for the paper: "DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos". We use four datasets for this study: Intraocular Lens, Pupil, Cornea, and instruments. The total number of training and test images for the aforementioned objects are 141:48, and 141:48, 178:84, 3190:459, respectively. The videos used for intraocular lens, pupil, and cornea segmentation are collected in Klinikum Klagenfurt, Austria, in 2021. Note that the instrument dataset is a selection of the CaDIS dataset with improved annotations.

Examples for intraocular lens annotations:

Examples for pupil annotations:

Examples for cornea annotations:

Examples for instrument annotations:

Disclaimer

The datasets are exclusively provided for scientific research purposes and as such cannot be used commercially or for any other purpose. If any other purpose is intended, you may directly contact the originator of the dataset, Assoc. Prof. DI Dr. Klaus Schoeffmann.

Besides, a reference must be made to the following publication [1] when this dataset is used in any academic and research reports:

Ghamsarian, N., Taschwer, M., Sznitman, R,Schoeffmann, K.: DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos (MICCAI 2022).

When the instrument dataset is used in any academic and research reports, another reference should be also made to the following publication:

Grammatikopoulou, M., Flouty, E., Kadkhodamohammadi, A., Quellec, G., Chow, A., Nehme, J., Luengo, I., Stoyanov, D.: CaDIS: Cataract dataset for surgical RGB-image segmentation, Medical Image Analysis, Volume 71, 2021,

The datasets are licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0, and are created as well as maintained by Distributed Multimedia Systems Group of the Institute of Information Technology (ITEC) at Alpen-Adria Universität in Klagenfurt, Austria.

This license allows users of this dataset to copy, distribute, and transmit the work under the following conditions:

Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Non-Commercial: You may not use the material for commercial purposes.

For further legal details, please read the complete license terms

If you agree to above conditions, you are free to download: