Title :
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
fDate :
Aug. 30 2011-Sept. 3 2011
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;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091530
