Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …

Artificial intelligence, a computer-based concept that tries to mimic human thinking, is slowly
becoming part of the endoscopy lab. It has developed considerably since the first attempt at …

Irritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated
with a low quality of life and increased healthcare costs. Current guidelines recommend that …

Artificial intelligence (AI) has revolutionised a wide range of human activities, including the
accelerated development of autonomous vehicles. Self-navigating delivery robots are recent …

During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …

Convolutional neural networks (CNNs) have been widely applied in the fields of medical
tasks because they can achieve high accuracy in many fields using a large number of …

Computational requirements for data processing at different stages of the radiology value
chain are increasing. Cone beam computed tomography (CBCT) is a diagnostic imaging …

Deep Learning in automatic video colonoscopy processing may result in missing small
polyps or detecting them with low confidence. We conducted a study to demonstrate that we …

Automated analysis of medical image databases enables accurate diagnosis, assists
physicians and gives objective clues, relevant in disease treatment and prevention. Our …

Colonoscopy is the most common method for early diagnosis of colorectal cancer. The
traditional detection method mainly relies on manual detection by doctors, and the detection …