Knee-Osteoarthritis Detection Using Deep Learning

Title

Knee-Osteoarthritis Detection Using Deep Learning

Creator

Garg A.; Suryavanshi S.; James J.; Srivastava S.

Description

Arthritis is a condition that causes pain, stiffness, inflammation, and other symptoms in one or more joints. It is more common in older adults and tends to worsen with age. There are different types of arthritis, but osteoarthritis is the most prevalent. A study discusses the use of Convolutional Neural Networks (CNN) for detecting knee osteoarthritis. CNN is a deep learning algorithm that can analyze data and classify images accurately, like the human brain. The purpose of this study is to classify different knee X-ray images to predict the severity of the disorder, allowing for early detection and lifestyle changes to prevent the disease from worsening. An online tool has been developed to diagnose knee osteoarthritis and provide remedies based on various K-grade predictions. This tool can help patients understand their knee's condition and take necessary measures to manage the disease. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Source

Lecture Notes in Networks and Systems, Vol-994 LNNS, pp. 75-87.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Artificial neural networks; CNN; Deep learning; Knee osteoarthritis

Coverage

Garg A., CHRIST (Deemed to be University), NCR, Delhi, India; Suryavanshi S., CHRIST (Deemed to be University), NCR, Delhi, India; James J., CHRIST (Deemed to be University), NCR, Delhi, India; Srivastava S., CHRIST (Deemed to be University), NCR, Delhi, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981973179-4

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-3180-0_6

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200672535&doi=10.1007%2f978-981-97-3180-0_6&partnerID=40&md5=cf72fc5f7836aed61b9795ab2644ede9