Clinical evaluation of rheumatic and musculoskeletal diseases through images is a
challenge for the beginner rheumatologist since image diagnosis is an expert task with a …

The aim and objectives of the study are as follows:(1) to perform automated segmentation of
knee X-ray images using fast greedy snake algorithm and feature extraction using gray level …

Rheumatoid joint inflammation is characterized as a perpetual incendiary issue which
influences the joints by hurting body tissues Therefore, there is an urgent need for an …

Developing a robust bone fracture segmentation technique using deep learning is an
important step in the medical imaging system. Bone fracture segmentation is the technique …

Rheumatoid arthritis is a relatively common disease, it is present in approximately 1% of the
world population [1]. It is a chronic autoimmune systemic illness, characterized by a …

Identification of faults through computer-based techniques is a growing trend these days in
all fields. A highly responsive system is characterized by two key features of quick detection …

The present paper focuses on analysis of bone x-ray images to identify any abnormality
zone for possible bone diseases or fractures. The proposed research work is useful in the …

One of the common problem in human beings is bone fracture which occurs due to high
pressure applied on bone or simple accident. It may also be due to bone cancer and …

Diagnosis established with imaging techniques is one of the most important tools in
medicine today. Digital images play very significant role for recognizing and examining …

Computer detection of fractures in orthopedic X-ray images is very difficult and stimulating
process. Bones can crack in multiple ways having a variety of degrees of severity. The …