VGG16 Based Knee Osteoarthritis Grading Using X-Ray Images

Autor: Birendra Singh Dhami, Monika Mehra, Ravinder Pal Singh
Rok vydání: 2022
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 10:678-683
ISSN: 2321-9653
Popis: In older citizens, Osteoarthritis (OA) in the knees is a frequent cause of restriction in movement and significant decline in their overall wellbeing. Early OA evaluation and treatment can prevent further progression. The accurate evaluation of a visual examination by a doctor is subject to different interpretations and heavily reliant on the degree of expertise that the doctor has. In this study, we use a method called deep learning (VGG16) to determine the severity of knee pain immediately. Simple Xray pictures collected from Kaggle are evaluated and divided into five grades. This model successfully reached a mean precision of 0.858 and a recall of 92.2 percent for knee osteoarthritis grading.
Databáze: OpenAIRE