Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …

Artificial intelligence (AI), the wide spectrum of technologies aiming to give machines or
computers the ability to perform human-like cognitive functions, began in the 1940s with the …

Colorectal cancer (CRC) prevention requires early detection and removal of adenomas. We
aimed to develop a computational model for real-time detection and classification of …

In the realm of multilingual, AI-powered, real-time optical character recognition systems, this
research explores the creation of an optimal, vocabulary-based training dataset. This …

For the development, training, and validation of machine learning (ML) and deep learning
(DL) based methods, such as, eg, image analysis, prediction of critical events, extraction or …

Colonoscopy is a procedure for inspecting the colon of a patient. On colonoscopy images,
anatomical landmarks, irritated and swollen tissue, ulcers, and polyps in the colorectal …

Automated computer-aided techniques for detecting colorectal polyps in capsule endoscope
images present a promising avenue for enhancing the post-processing phase of endoscopy …

Murine animal models are routinely used in research of gastrointestinal diseases, for
example to analyze colorectal cancer or chronic inflammatory bowel diseases. By using …