Cracks are important indicators of pavement structural and operational conditions. Early
pavement crack detection and treatments can help extend pavement service life, reduce fuel …

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 …

Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is the third most
commonly diagnosed cancer in males and the second in females. The most effective way to …

Background Machine learning, especially deep learning, is becoming more and more
relevant in research and development in the medical domain. For all the supervised deep …

Colorectal polyps are abnormal tissues growing on the intima of the colon or rectum with a
high risk of developing into colorectal cancer, the third leading cause of cancer death …

Gastrointestinal diseases, such as gastric cancer, are a major cause of deaths and
economic losses. One common diagnostic procedure for detecting these diseases is …

Throughout the entire world, colorectal cancer (CRC) is the second most common cause of
death. The most important element in preventing cancer is early detection. It increases the …

Initially designed for image generation, diffusion models can also be effectively applied to
various tasks, including semantic segmentation. However, most existing diffusion-based …

Esophagogastroduodenoscopy (EGD) is a common procedure that visualizes the
esophagus, stomach, and the duodenum by inserting a camera, attached to a long flexible …