Image annotation and large annotated datasets are crucial parts within the Computer Vision
and Artificial Intelligence fields. At the same time, it is well-known and acknowledged by the …

Abstract Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative
imaging modality for complete and non-invasive screening of the gastrointestinal tract …

Image annotation is one of the most essential tasks for guaranteeing proper treatment for
patients and tracking progress over the course of therapy in the field of medical imaging and …

Deep learning-based computer-aided diagnosis techniques have demonstrated
encouraging performance in endoscopic lesion identification and detection, and have …

Abstract Machine Learning models need large amounts of annotated data for training. In the
field of medical imaging, labeled data is especially difficult to obtain because the …

The progress of incorporating deep learning in the field of medical image interpretation has
been greatly hindered due to the tremendous cost and time associated with generating …

Background and Aims: Accurate recognition of endoscopic instruments facilitates
quantitative evaluation and quality control of endoscopic procedures. However, no relevant …

Automating objective assessment of surgical technical skill is necessary to support training
and professional certification at scale, even in settings with limited access to an expert …

Abstract Wireless Capsule Endoscopy is a medical procedure that uses a small, wireless
camera to capture images of the inside of the digestive tract. The identification of the …

Background Artificial intelligence (AI) research is highly dependent on the nature of the data
available. With the steady increase of AI applications in the medical field, the demand for …