Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Segmentation of Knee Cartilages in Osteoarthritis using U-Net: Convolutional Neural Network and Age assessment of Patients

Author : Revathi S A 1 Ganga Holi 2

Date of Publication :27th October 2020

Abstract: Osteoarthritis(OA) is common chronic diseases over the world with knee being the most affected joint. This paper focuses on cartilages of Knee OA. Magnetic Resonance Imaging(MRI) is used for studies, as they provide information related to joint ache and the occurrence and development of OA. The most crucial step in the processing pipeline of musculoskeletal tissues is to obtain quantifiable methods of Knee joint deterioration from MR Images. Here we use CNN based approach, U-Net which has revealed favorable results for segmenting the cartilages. The aim of this study is to illustrate and authenticate the technique for segmenting cartilages of Knee MRI and also assessment of patient’s age.

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