X-Ray image enhancement, along with many other medical image processing applications,
requires the segmentation of images into bone, soft tissue, and open beam regions. We …

In the present era, there are lots of advancements and initiatives that have been undertaken
through image processing techniques and IoT (Internet of Things). Image processing has …

This paper deals with fracture detection of a human bone from X-ray images applying image
processing techniques. It describes the wavelet transform based segmentation and neural …

Coronary artery disease (CAD) has become a significant cause of heart attack, especially
among those 40 years old or younger. There is a need to develop new technologies and …

Machine learning systems have gained tremendous attention in solving complex tasks. For
instance, image classification using machine learning has multiple applications in the …

Background Bone is a complex living tissue that adapts itself to the demands of mechanical
stimuli such as physical activity and exercise. Whole-body vibration (WBV) is a type of …

In order to extract any abnormality in the given image, the first step is to segment it so that
detailed information can be identified clearly. This paper describes the wavelet-based …

Orthopaedics deals with surgery and treatment of the human musculoskeletal system. It also
involves degenerative conditions, trauma, sports injury, tumors, and congenital issues …

An enhanced version of a segmentation algorithm applied in X‐ray images using a prior
shape and a straightened boundary image (SBI) is proposed. In the SBI method, the …

Abstract Development of medical image segmentation techniques has become one of the
most important challenges in many applications that employ computers-based medical …