Diagnosis Technology Research of Mammographic Masses in Content-Based Image Retrieval
Lixin Song, Qingyan Wang, Li Wang · 2010
In order to assist doctor to diagnosis of mammo-graphic masses, a method is proposed. 22 features are extracted from each queried region of interest (ROI).A k-nearest neighbor (KNN) algorithm is used to retrieve similar images from database, and further calculate the mutual information (MI) between the queried image and the images which are in the retrieval results, so as to improve the retrieval performance. Finally, the scheme takes the first nine images with the highest MI scores as the final retrieval results. With the purpose of providing available decision-making information of diagnostic aids, we compare and analyze three calculating methods of decision index. The Experiment results show that the method is better than method of using KNN only, and improve the accuracy of diagnosis effectively.