Bone diseases are common and can result in various musculoskeletal conditions (MC). An
estimated 1.71 billion patients suffer from musculoskeletal problems worldwide. Apart from …

The detection of an object such as a human is very important for image understanding in the
field of computer vision. Human detection in images can provide essential information for a …

The Cobb angle measurement of the scoliotic spine is prone to inter-and intra-observer
variations in the clinical setting. This paper proposes a deep learning architecture for …

Background Classification of the type of calcaneal fracture on CT images is essential in
driving treatment. However, human-based classification can be challenging due to …

Precise classification of femoral fractures contributes to accurate surgical strategies and
better prognosis after surgery. An effective and accurate system for diagnosing femoral …

Detection of moving objects by unmanned aerial vehicles (UAVs) is an important application
in the aerial transportation system. However, there are many problems to be handled such …

Purpose The purpose of this paper is to propose a new framework and improve a bi-
directional people counting technique using an RGB-D camera to obtain accurate results …

Background and objective Calcaneus is the largest tarsal bone to withstand the daily
stresses of weight-bearing. The calcaneal fracture is the most common type in the tarsal …

Additive manufacturing has been widely used in various industries, including the healthcare
sector. Over the last few decades, AM has been playing an important role in the medical field …

The Cobb angle measurement in adolescent idiopathic scoliosis is prone to inter-and intra-
observer variations. This paper proposes a deep learning architecture for detection of spine …