Title :
A Better Classifier Based on Rough Set and Neural Network for Medical Images
Author :
Yun, Jiang ; Zhanhuai, Li ; Yong, Wang ; Longbo, Zhang
Author_Institution :
Coll. of Comput. Sci., Northwestern Polytech. Univ.
Abstract :
Detecting tumor in mammography is a difficult task because of complexity in the image. This brings the necessity of creating automatic tools to find whether a mammography present tumor or not. In this paper we integrate neural network with reduction of rough set theory which we call the rough neural network (RNN) to classify digital mammography. The experimental results show that the RNN performs better than purely using neural network in terms of time, and it can get 92.37% classifying accuracy which is higher than 81.25% using neural network only
Keywords :
image classification; mammography; medical image processing; neural nets; rough set theory; tumours; digital mammography; medical image classification; rough neural network; rough set theory; tumor detection; Biomedical imaging; Breast cancer; Data mining; Educational institutions; Feature extraction; Mammography; Medical diagnostic imaging; Neoplasms; Neural networks; Recurrent neural networks;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.1
