Abstract Background The Kellgren-Lawrence (KL) grading system is the most widely used
method to classify the severity of osteoarthritis (OA) of the knee. However, due to ambiguity …

Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders. OA
diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs …

“Automatic Quantification of Radiographic Knee Osteoarthritis Severity and Associated
Diagnostic Features using Deep Convolutional Neural Networks” A. Joseph Antony Due to …

With the changing lifestyle, a large population suffers from a bone disease known as an
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …

OsteoArthritis (OA) is a joint disease caused by cartilage loss in the joint and bone changes.
Early knee OA prediction based on bone texture analysis is a difficult task in medical image …

Various deep learning frameworks are being proposed for autonomous detection of
diseases to contribute towards telemedicine. Moreover, in spite of low doctor to patient ratio …

To detect knee disease, radiologists have been utilizing multi-view images such as
computer tomography (CT) scans, MRIs, and X-rays. The cheapest method is X-ray to attain …

Knee osteoporosis (KOP) is a skeletal disorder characterized by bone tissue degradation
and low bone density, leading to a high risk of bone fractures in the knee area. The …

Summary Objectives The KNee OsteoArthritis Prediction (KNOAP2020) challenge was
organized to objectively compare methods for the prediction of incident symptomatic …

A fully-automated deep learning algorithm matched performance of radiologists in
assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence …