Detection of colorectal polyps through colonoscopy is an essential practice in prevention of
colorectal cancers. However, the method itself is labor intensive and is subject to human …

In terms of highway crack detection, the combination of unmanned aerial vehicles (UAVs)
and deep learning networks has become a powerful detection means. However, in the …

The appearance of surface cracks is an important feature of the early safety of the
architecture being threatened, which is of great significance to maintaining the safety of the …

Concrete cracks are one of the most harmful flaws on the road, threatening traffic safety. In
this paper, an effective crack segmentation network MOACA-CrackNet that strives to boost …

The automated monitoring of road pavement conditions is a challenging subject in intelligent
transportation. However, the existing studies mostly focus on extracting pavement damages …

Automatic pavement surface crack segmentation is crucial for efficient and cost-effective
road maintenance. Despite fully-supervised crack segmentation methods have achieved …

Effective crack detection is critical for pavement maintenance, yet existing methods face
significant challenges. Deep learning has become a popular solution due to its superior …

It is critical to detect cracks in concrete promptly and effectively to limit further deterioration
and to perform timely repairs. Several convolutional neural networks have been proposed in …

The problem of routinely detecting complicated cracks on coarse concrete surfaces using
image processing is tough activity. Clustering is an efficient and easy unsupervised …