title: Osteophyte detection for hand osteoarthritis identification in x-ray images using CNNs.
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.
authors.affiliation: Natural Sciences Department, West Bengal University of Technology, Calcutta, India.
authors.forename: Sreeparna
authors.initials: S
authors.lastname: Banerjee
authors.forename: Satyajit
authors.initials: S
authors.lastname: Bhunia
authors.forename: Gerald
authors.initials: G
authors.lastname: Schaefer
mesh_terms: D000368:Aged; D000465:Algorithms; D001842:Bone and Bones / Q000473:pathology; D006225:Hand / Q000000981:diagnostic imaging / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D015233:Models, Statistical; D016571:Neural Networks, Computer; D010003:Osteoarthritis / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D054850:Osteophyte / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D011859:Radiography; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014965:X-Rays