Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Background and Aims Deep learning is an innovative algorithm based on neural networks.
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …

Artificial intelligence is currently a hot topic in medicine. However, medical data is often
sparse and hard to obtain due to legal restrictions and lack of medical personnel for the …

We present the first comprehensive video polyp segmentation (VPS) study in the deep
learning era. Over the years, developments in VPS are not moving forward with ease due to …

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 …

Deep learning techniques hold promise to develop dense topography reconstruction and
pose estimation methods for endoscopic videos. However, currently available datasets do …

Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …

This paper proposes a novel methodology for automatic detection and localization of
gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed …

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst
most polyps are benign, the polyp's number, size and surface structure are linked to the risk …

Wireless capsule endoscopy (WCE) is one of the most efficient methods for the examination
of gastrointestinal tracts. Computer-aided intelligent diagnostic tools alleviate the challenges …