/Kvasircapsule-SEG

NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]

Kvasircapsule-SEG (Open-access capsule endosocpy polyp segmentation dataset)

The repository contains the Kvasircapsule-seg dataset. It includes 55 medically verified video capsule frames polyp frames from Kvasir-Capsule dataset. We have annotated the polyp class of KvasirCapsule and generated corresponding ground truth masks. This dataset can be used for semantic meta-learning, domain generalization, semantic segmentation, and out-of-distribution detection task.

The official website for the dataset is: https://datasets.simula.no/kvasir-capsule-seg/

The official publication link: https://ieeexplore.ieee.org/document/9474743

The Kvasir-Capsule can be downloaded this github repository and the dropbox link: https://www.dropbox.com/home/KvasirCapsule-SEG.

Pillcam (enables direct visualization of the small bowel with a capsule endoscopy procedure)

It is used for capturing video capsule frames. The examples of capsule endocopy polyp frames are below:

Dataset sample

Results

Citation

Please cite our paper if you find the work useful:

@proceedings{jha2021nanonet,
  title={NanoNet: Real-Time Polyp Segmentation in Endoscopy},
  author={Jha, Debesh and Tomar, Nikhil Kumar and Ali, Sharib and Riegler, Michael A and Johansen, H{\aa}vard D and Johansen, Dag and Halvorsen, P{\aa}l},
  booktitle={Proceedings of the IEEE Computer Based Multimedia System},
  year={2021},
  publisher={IEEE}
}

uses

It is an open-access dataset which can be downloaded for research and academic purpose. For industrial purpose, a prior consent is required before using them.

Contact

Please contact debesh.jha@northwestern.edu for any further questions.