[1] AKGVL C B, RUBIN D L, NAPEL S, et al. Content-based image retrieval in radiology: current status and future directions [J]. Journal of Digital Imaging, 2011,24(2):208-222. [2] WEI C H, LI Y, LI C T. Effective extraction of Gabor features for adaptive mammogram retrieval [C]//Proceedings of the 2007 IEEE International Conference on Multimedia and Expo. Washington, DC: IEEE Computer Society, 2007:1503-1506. [3] MOHAMED M H, ABDELSAMEA M M. An efficient clustering based texture feature extraction for medical image [C]//Proceedings of the 2008 11th International Conference on Computer and Information Technology. Piscataway, NJ: IEEE, 2008:88-93. [4] 张启东,高立群,吴建华,等.基于Contourlet变换的医学图像检索[J].东北大学学报(自然科学版),2009,30(2):180-183.(ZHANG Q D, GAO L Q, WU J H, et al. Medical image retrieval based on contourlet transform [J]. Journal of Northeastern University (Natural Science), 2009,30(2):180-183.) [5] 周涛,蒋芸,王勇,等.基于小波神经网络的医学图像分类方法[J].计算机应用,2010,30(10):2857-2860.(ZHOU T, JIANG Y, WANG Y, et al. Medical image classification based on wavelet neural network [J]. Journal of Computer Applications, 2010,30(10):2857-2860.) [6] BATMANGHELICH N K, TASKAR B, DAVATZIKOS C. Generative-discriminative basis learning for medical imaging [J]. IEEE Transactions on Medical Imaging, 2012,31(1):51-69. [7] 雷贇,龚葵花.基于线性矩和小波变换的医学图像特征提取[J].科技信息,2010(3):45-47.(LEI Y, GONG K H. Medical image feature extraction based on l-moment and wavelet transform [J]. Science and Technology Information, 2010(3):45-47.) [8] MALIK J, BELONGIE S, LEUNG T, et al. Contour and texture analysis for image segmentation [J]. International Journal of Computer Vision, 2001,43(1):7-27. [9] VARMA M, ZISSERMAN. A statistical approach to texture classification from single images [J]. International Journal of Computer Vision, 2005,62(1/2):61-81. [10] BAI X, YANG X, LATECKI L J, et al. Learning context-sensitive shape similarity by graph transduction [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2010,32(5):861-874. [11] KONTSCHIEDER P, DONOSER M, BISCHOF H. Beyond pairwise shape similarity analysis [M]//ZHA H, TANIGUCHI R, MAYBANK S. Computer Vision—ACCV 2009, LNCS 5996. Berlin: Springer, 2010: 655-666. [12] YANG X, KOKNAR-TEZEL S, LATECKI L J. Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval [C]//Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC: IEEE Computer Society, 2009:357-364. [13] ZHOU D, WESTON J, GRETTON A, et al. Ranking on data manifolds [EB/OL]. [2015-04-01]. http://papers.nips.cc/paper/2447-ranking-on-data-manifolds.pdf. [14] PRATT W K. Digital image processing [M]. Beijing: China Machine Press, 2010:35-39. [15] PUZICHA J, HOFMANN T, BUHMANN J M. Non-parametric similarity measures for unsupervised texture segmentation and image retrieval [C]//Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, DC: IEEE Computer Society, 1997:267-272. [16] TOMMASI T, CAPUTO B, WELTER P, et al. Overview of the CLEF 2009 medical image annotation track [M]//PETERS C, CAPUTO B, GONZALO J, et al. Multilingual Information Access Evaluation Ⅱ. Multimedia Experiments, LNCS 6242. Berlin: Springer, 2010:85-93. [17] YANG X, LATECKI L J. Affinity learning on a tensor product graph with applications to shape and image retrieval [C]//Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC: IEEE Computer Society, 2011:2369-2376. [18] AVNI U, GREENSPAN H, KONEN E, et al. X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words [J]. IEEE Transactions on Medical Image, 2011,30(3):733-746. |