Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior sco** review has been undertaken to …

Medical imaging is critical in detecting and managing infections, with X-ray imaging being a
cornerstone in this domain. This review provides an overview of X-ray imaging principles …

An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-
consuming process. The development of machine learning (ML), as well as deep learning …

Automated fracture detection is an essential part in a computer-aided tele-medicine system.
Fractures often occur in human's arbitrary bone due to accidental injuries such as slip** …

In this paper, a novel deep learning method is proposed and applied to fracture detection in
arm bone X-rays. The main improvements include three aspects. First, a new backbone …

Radiologists interprets X-ray samples by visually inspecting them to diagnose the presence
of fractures in various bones. Interpretation of radiographs is a time-consuming and intense …

Facial bone fractures must be diagnosed and treated as early as possible to avoid
complications and sequelae. CT images need to be analyzed to detect fractures, but the …

X-ray images of the lower limb bone are the most commonly used imaging modality for
clinical studies, and segmentation of the femur and tibia in an X-ray image is helpful for …

Background and objective Development of machine assisted tools for automatic analysis of
psoriasis skin biopsy image plays an important role in clinical assistance. Development of …

In this paper, we design a new backbone network by using of dilated convolutions. By
replacing the backbone network in the state-of-the-art FPN framework with the one we …