DocumentCode :
3320816
Title :
Mammographic Mass Retrieval Based on Multi-View Information
Author :
Liu, Wei ; Xu, Weidong ; Li, Lihua ; Li, Shuang ; Zhao, Huanping ; Zhang, Juan
Author_Institution :
Coll. of Life Inf. Sci. & Instrum. Eng., Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2011
fDate :
10-12 May 2011
Firstpage :
1
Lastpage :
4
Abstract :
Breast cancer is the most common malignant disease in women. Mammographic mass retrieval system can help radiologists to improve the diagnostic accuracy by retrieving biopsy-proven masses which are similar with the diagnostic ones. However, although screening mammograms usually consists of two-view(MLO and CC) mammography of the same breast, most breast CAD systems incorporate with image retrieval techniques are based on a single-view principle where query ROI within a view is analyzed independently. In this paper, a mammographic mass retrieval approach based on multi-view information is proposed. In this work, the query example is a multi-view(MLO and CC) mass pair instead of the single view mass in the traditional image retrieval framework. In the experiments, some visual features are used for retrieval evaluation. Both distance similarity measures, such as Euclidean distance, and k-NN regression model based non-distance similarity measures are used for comparison. Experimental study was carried out on a database with 126 biopsy-proven masses(63 mass pairs). Preliminary results showed that multi-view based retrieval approach achieves better retrieval accuracy than single-view based one, especially for the k-NN regression model based similairy metric.
Keywords :
cancer; feature extraction; image retrieval; mammography; medical image processing; neural nets; regression analysis; Euclidean distance; biopsy-proven masses; breast CAD systems; breast cancer; image retrieval framework; k-NN regression model; malignant disease; mammographic mass retrieval approach; multiview information; Accuracy; Breast; Image retrieval; Medical diagnostic imaging; Observers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
ISSN :
2151-7614
Print_ISBN :
978-1-4244-5088-6
Type :
conf
DOI :
10.1109/icbbe.2011.5780212
Filename :
5780212
Link To Document :
بازگشت