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<h1>Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy</h1> <h3><a href="https://osf.io/s5d48" rel="nofollow">[Preprint]</a></h3> <p><img alt="enter image description here" src="https://files.osf.io/v1/resources/kp6my/providers/osfstorage/5f3675aad42ad4009acdbc39?mode=render"></p> <p>Gastrointestinal tract (GI) pathologies are periodically screened, biopsied, and resected using surgical tools. However, these biopsied and/or resected areas are not tracked due to which the video analysis for assessing disease burden or the amount of pathology resection remains unknown. To tackle such issues, we have released the “Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy” dataset, which consists of 590 annotated frames comprising of GI procedure tools such as snares, balloons, biopsy forceps, etc. By adding segmentation masks and bounding boxes information to this dataset, we enable the researchers from the field of medical image analysis and computer vision to contribute to the field of automated tool segmentation in gastrointestinal endoscopy.</p> <h2>Dataset</h2> <ul> <li><strong>images.tar.gz</strong>: contains 590 endoscopic tool images.</li> <li><strong>masks.tar.gz</strong> : contains corresponding 590 mask images.</li> <li><strong>files_used_for_training.txt</strong> : List of image file names to train machine learning models.</li> <li><strong>files_used_for_testing.txt</strong> : List of image file names to test machine learning models. </li> <li><strong>bboxes.json</strong> : contained bounding box values of instruments in each image.</li> </ul> <h2>Citation</h2> <pre class="highlight"><code>@misc{jha2020instrument, title={Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy}, author={Jha, Debesh and Ali, Sharib and Emanuelsen, Krister and Hicks, Steven A and Thambawita, Vajira and Garcia-Ceja, Enrique and Riegler, Michael A. and de Lange, Thomas and Schmidt, Peter T. and Johansen, H{\aa}vard D and Johansen, Dag and Halvorsen, P{\aa}l }, url={}, DOI={10.17605/<a href="http://OSF.IO/KP6MY" rel="nofollow">OSF.IO/KP6MY</a>}, publisher={OSF Preprints}, year={2020}}</code></pre> <h2>Terms of use</h2> <p>C-By Attribution 4.0 International. The use of the Kvasir-instrument dataset is restricted to research and education purposes. The use of the dataset is forbidden for commercial use without prior written permission. For other purposes, contact us (see below). In all documents and publications that use the Kvasir-SEG dataset or report experimental results based on the Kvasir-Instrument dataset, a reference to the dataset paper has to be included (see above). Please email debesh@simula.no if you have any questions regarding how to cite the dataset.</p> <h2>Ethics approval</h2> <p>In this study, we used fully anonymized data approved by Privacy Data Protection Authority. It was exempted from approval from the Regional Committee for Medical and Health Research Ethics - South East Norway. Furthermore, we confirm that all experiments were performed in accordance with the relevant guidelines and regulations of the Regional Committee for Medical and Health Research Ethics - South East Norway, and the GDPR.</p> <h2>Contact</h2> <p>Email debesh@simula.no if you have any questions about the dataset and our research activities. We always welcome collaboration and joint research! </p>
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