Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …

Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for
treatment decisions and monitoring disease progress. However, substantial inter-and …

Polyp detection through colonoscopy is a widely used method to prevent colorectal cancer.
The automation of this process aided by artificial intelligence allows faster and improved …

In scoring systems used to measure the endoscopic activity of ulcerative colitis, such as
Mayo endoscopic score or Ulcerative Colitis Endoscopic Index Severity, levels increase with …

Purpose Validation metrics are a key prerequisite for the reliable tracking of scientific
progress and for deciding on the potential clinical translation of methods. While recent …

Availability of large, diverse, and multi-national datasets is crucial for the development of
effective and clinically applicable AI systems in the medical imaging domain. However …

The performance of a supervised deep learning model is highly dependent on the quality
and variety of the images in the training dataset. In some applications, it may be impossible …

Polyp detection through colonoscopy is a widely used method to prevent colorectal cancer.
The automation of this process aided by arti cial intelligence allows faster and improved …

Many people suffer from Ulcerative Colitis (UC), which is a chronic inflammatory bowel
disease. UC exhibits itself as ulcers, inflammation, and sores in the colon. In order to provide …

Artificial Intelligence, assisted by deep learning, has emerged in various fields of our society.
These systems allow the automation and the improvement of several tasks, even …