Abstract
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising benefits of AI-based computer-assisted diagnosis systems for VCE. They also show great potential for improvements to achieve even better results. Also, medical data is often sparse and unavailable to the research community, and qualified medical personnel rarely have time for the tedious labelling work. We present Kvasir-Capsule, a large VCE dataset collected from examinations at a Norwegian Hospital. Kvasir-Capsule consists of 117 videos which can be used to extract a total of 4,741,504 image frames. We have labelled and medically verified 47,238 frames with a bounding box around findings from 14 different classes. In addition to these labelled images, there are 4,694,266 unlabelled frames included in the dataset. The Kvasir-Capsule dataset can play a valuable role in developing better algorithms in order to reach true potential of VCE technology.
Highlights
Background & SummaryThe small bowel constitutes the gastrointestinal (GI) tract’s mid-part, situated between the stomach and the large bowel
Disorders in the small bowel may cause severe growth retardation in children and nutrient deficiencies in children and adults[1]. This organ may be affected by chronic diseases, like Crohn’s disease, coeliac disease, and angiectasias, or malignant diseases like lymphoma and adenocarcinoma[2,3]
Due to its anatomical location, the small bowel is less accessible for inspection by flexible endoscopes commonly used for the upper GI tract and the large bowel
Summary
The small bowel constitutes the gastrointestinal (GI) tract’s mid-part, situated between the stomach and the large bowel. Disorders in the small bowel may cause severe growth retardation in children and nutrient deficiencies in children and adults[1]. This organ may be affected by chronic diseases, like Crohn’s disease, coeliac disease, and angiectasias, or malignant diseases like lymphoma and adenocarcinoma[2,3]. Since early 2000, video capsule endoscopy (VCE)[5] has been used, usually as a complementary test for patients with GI bleeding[4]. The patient swallows the capsule capturing a video as it moves passively throughout the GI tract. A recorder, carried by the patient or included in the capsule, stores the video before a medical expert examines it after the procedure. The frame rate typically varies between 1 and 30 frames per second, capturing in total between 50 and 100 thousand frames, with pixel-resolutions in the range of
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