The ITEC Iris and Pupil Segmentation Dataset consists of 82 frames from 35 cataract surgery videos, annotated with areas of iris and pupil. Corresponding paper presented at ISBI 2020 workshop "Deep Learning for Biomedical Image Reconstruction" (if you use our dataset, please cite this paper).
Cataract surgery is one of the most frequently performed microscopic surgeries in the field of ophthalmology.
The goal behind this kind of surgery is to replace the human eye lens with an artificial one, an intervention that is often required due to aging.
The entire surgery is performed under microscopy, but co-mounted cameras allow to record and archive the procedure.
The videos collected in this dataset were recorded at Klinikum Klagenfurt (Austria) in 2017-2018 years. They all were recorded with the following parameters:
The dataset is 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 videos, Prof. Dr. Yosuf El-Shabrawi.
In addition, reference must be made to the following publication when this dataset is used in any academic and research reports:
Natalia Sokolova, Mario Taschwer, Stephanie Sarny, Doris Putzgruber-Adamitsch, Klaus Schoeffmann. 2020. Pixel-Based Iris and Pupil Segmentation in Cataract Surgery Videos Using Mask R-CNN. Proceedings in IEEE International Symposium on Biomedical Imaging Workshops. IEEE, Los Alamitos, CA, USA, to appear.
Cataract-101 is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0, ) and is created as well as maintained by the 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: