Osteophyte detection for hand osteoarthritis identification in x-ray images using CNNs

Author

Banerjee, Sreeparna ; Bhunia, Satyajit ; Schaefer, Gerald

Author_Institution

Natural Sci. Dept., West Bengal Univ. of Technol., Kolkata, India

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

6196

Lastpage

6199

Abstract

In this paper we describe a class of analog algorithms based on the concept of cellular neural networks (CNNs) for detecting osteoarthritis (OA) from x-ray images. The indicator of OA that we examine is the presence of bony spurs or osteophytes in the vicinity of the weight bearing joints of the fingers. Results on a series of hand x-ray images are shown to be promising.

Keywords

bone; cellular neural nets; diagnostic radiography; diseases; medical image processing; object detection; orthopaedics; CNN; X-ray images; bony spurs; cellular neural networks; hand osteoarthritis identification; osteophyte detection; osteophytes; weight bearing joints; Arrays; Bones; Electronics packaging; Joints; Osteoarthritis; Radiography; X-ray imaging; Aged; Algorithms; Bone and Bones; Hand; Humans; Image Processing, Computer-Assisted; Models, Statistical; Neural Networks (Computer); Osteoarthritis; Osteophyte; Reproducibility of Results; Sensitivity and Specificity; X-Rays;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091530

Filename

6091530