Gastrointestinal (GI) tract disorders are a significant public health issue. They are becoming
more common and can cause serious health problems and high healthcare costs. Small …

Intelligent transportation systems (ITSs) derive significant advantages from advanced
models like YOLOv8, which excel in predicting traffic incidents in dynamic urban …

Colorectal cancer (CRC) is a common digestive system tumor with high morbidity and
mortality worldwide. At present, the use of computer-assisted colonoscopy technology to …

Colorectal polyp is an important early manifestation of colorectal cancer, which is significant
for the prevention of colorectal cancer. Despite timely detection and manual intervention of …

The rise of object detection models has brought new breakthroughs to the development of
clinical decision support systems. However, in the field of gastrointestinal polyp detection …

Autonomous underwater vehicles equipped with target recognition algorithms are a primary
means of removing marine debris. However, due to poor underwater visibility, light …

Accurate liver tumor diagnosis in clinical practice relies on precisely delineating the liver and
identifying potential tumors in Computed Tomography scans. This study aims to develop a …

Fabric defect detection is always challenging. The appearance of textile defects affects the
use value of fabrics and can cause significant economic losses for textile factories. Many …

With the advent of the deep learning-based colonoscopy system, the need for a vast amount
of high-quality colonoscopy image datasets for training is crucial. However, the …

This study explores enhancing decision-making processes in inventory management and
production operations by integrating a developed system. The proposed solution improves …