Banerjee Sreeparna, Bhunia Satyajit, Schaefer Gerald
Natural Sciences Department, West Bengal University of Technology, Calcutta, India.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6196-9. doi: 10.1109/IEMBS.2011.6091530.
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.
在本文中,我们描述了一类基于细胞神经网络(CNN)概念的模拟算法,用于从X射线图像中检测骨关节炎(OA)。我们所研究的OA指标是手指负重关节附近是否存在骨赘。一系列手部X射线图像的检测结果显示很有前景。