Medical image synthesis has emerged as a promising solution to address the limited
availability of annotated medical data needed for training machine learning algorithms in the …

Wireless capsule endoscopy (WCE) is a non-invasive method for visualizing the
gastrointestinal (GI) tract, crucial for diagnosing GI tract diseases. However, interpreting …

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

Abstract Wireless Capsule Endoscopy (WCE) is the preferred technology for the diagnosis
and evaluation of small bowel disorders. The concluding WCE video comprises as many as …

Wireless capsule endoscopy (WCE) captures huge number of images, but only a fraction are
medically relevant. We propose automated real‐time small bowel visualization quality …

In this paper, we propose a scheme to classify different Wireless Capsule Endoscopy (WCE)
lesion images for diagnosis. The main contribution is to quantify multi-scale pooled channel …

Wireless capsule endoscopy (WCE) is a novel imaging tool that allows noninvasive
visualization of the entire gastrointestinal (GI) tract without causing discomfort to patients …

The generalization performance of deep learning models is closely associated with the
number and diversity of data available upon training. While in many applications there is a …

Computer-assisted surgical systems provide support information to the surgeon, which can
improve the execution and overall outcome of the procedure. These systems are based on …

Wireless capsule endoscopy (WCE) is a swallowable device used for screening different
parts of the human digestive system. Automatic WCE image analysis methods reduce the …