KvasirCapsule-SEG is an open-access dataset curated specifically for capsule endoscopy polyp segmentation. Derived from the Kvasir-Capsule dataset, it features 55 medically verified video capsule polyp frames. Each frame has been meticulously annotated, generating corresponding ground truth masks, making it an ideal resource for various applications.
🔍 Use-Cases:
- Polyp segmentation
- Semantic Segmentation
- Medical image segmentation
- Semantic Meta-Learning
- Domain Generalization
- Out-of-Distribution Detection Task
A capsule endoscopy procedure enables direct visualization of the small bowel.
It is used for capturing video capsule frames. The examples of capsule endoscopy polyp frames are below:
📂 Download Options:
Delve deeper into our work through the following publications:
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}
}
It is an open-access dataset available for research and academic purposes. For industrial applications, obtaining prior consent is mandatory.
Please reach out to debeshjha1@gmail.com for any further questions.