Osteoporosis is a disorder in which the bones deteriorate and become brittle. It is commonly referred to as a “silent disease” since symptoms do not appear until a fracture occurs. Normally, bones create new bone and remove old bone, but osteoporosis upsets this equilibrium, resulting in greater bone loss than bone creation. Osteoporosis symptoms are subtle, yet it frequently leads to fractures, causing pain, disability, and loss of independence. The existing procedures for diagnosing osteoporosis are time-consuming. Early identification is critical for successful care and lowering the risk of fracture. Over the last few decades, deep learning has been more prominent in the field of picture analysis. The findings from the previous research indicate that employing machine- learning models may assist clinicians in early detection of Osteoporosis, thereby mitigating the risk of fractures.

Keywords:Knee osteoporosis; Machine learning; Medical imaging; Image preprocessing