[1] |
Nishikawa R M. Current status and future directions of computeraided diagnosis in mammography[J]. Computerized Medical Imaging and Graphics,2007,31:224235.
|
[2] |
Duncan J S,Ayache N. Medical image analysis:Progress over two decades and the challenge ahead[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(1):85106.
|
[3] |
Zhang Chao,Jiang Hongchuan. Application of Shuyi breast diagnostic instrument in breast cancer diagnosis[J]. Chinese Journal of Cancer Prevention and Treatment,2010,17(19):16001604.(in Chinese)
|
[4] |
Xie Guocheng. Research on medical image classification method based on hypersphere multiclass support vector data description[D]. Lanzhou:Northwest Normal University,2014. (in Chinese)
|
[5] |
Yue Lijuan. Research on medical image feature extraction and classification [D]. Wuxi:Jiangnan University,2013.(in Chinese)
|
[6] |
Xu Jiucheng, Xu Tianhe, Sun Lin. Feature selection for cancer classification based on neighborhood rough set and particle swarm optimization[J].Journal of Chinese Computer Systems,2014,35(11):25282532.(in Chinese)
|
[7] |
Li Weiwei. The research of feature selection and segmentation of medical image based on fusion[D].Suzhou:Suzhou University,2010.(in Chinese)
|
[8] |
Yang Hongwei. Research and system implement on feature extraction & feature selection for pulmonary nodules[D].Chongqing:Chongqing University,2010.(in Chinese)
|
[9] |
Pawlak Z. Rough sets[J].International Journal of Information and Computer Science,1982,11(5):129141.
|
[10] |
Yao Yiyou. Threeway decisions with probabilistic rough sets[J]. Information Sciences,2010,180(3):341353.
|
[11] |
Yao Yiyou. The superiority of threeway decisions in probabilistic rough set models[J].Information Sciences,2011,18(6):10801096.
|
[12] |
Yao Yiyou. Two semantic issues in a probabilistic rough set model[J]. Fundmental Informatic,2011,108(3/4):249265.
|
[13] |
Sharma R, Jain P, Shrivastava S K. An optimize decision tree algorithm based on variable precision rough set theory using degree of βdependency and significance of attributes[J]. International Journal of Computer Science and Information Technologies,2012,3(3):39423947.
|
[14] |
Zhang Wenxiu,Wu Weizhi,Liang Jiye. Rough set theory and method[M]. Beijing:Science Press,2005.(in Chinese)
|
[15] |
Wang G Y,Ma X,Yu H. Monotonic uncertainty measures for attribute reduction in probabilistic rough set model[J]. International Journal of Approximate Reasoning,2015,59(3):4167.
|
[16] |
Jia X,Tang Z,Liao W,et al. On an optimization representation of decisiontheoretic rough set model[J]. International Journal of Approximate Reasoning,2014,55(1):156166.
|
[17] |
Nguyen X T,Nguyen D D. Rough fuzzy relation on two universal sets[J]. International Journal of Intelligent Systems and Applications (IJISA),2014,6(4):49.
|
[18] |
Chen D,Yang Y. Attribute reduction for heterogeneous data based on the combination of classical and fuzzy rough set models[J]. IEEE Transactions on Fuzzy Systems,2014,22(5):13251334.
|
[19] |
Lin T Y,Huang K J,Liu Q,et al. Rough sets,neighborhood systems and approximation[C]∥Proc of the 5th International Symposium on Methodologies for Intelligent System, 1990:130141.
|
[20] |
Lingras P,Chen M,Miao D. Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations[J]. International Journal of Approximate Reasoning,2014,55(1):238258.
|
[21] |
Hu Qinghua,Yu Daren. Neighborhood rough set based heterogeneous feature subset selection[J].Information Science,2008,178(18):35773594.
|
[22] |
Hu Qinghua,Yu Daren,Xie Zongxia. Numerical attribute reduction based on neighborhood granulation and rough approximation[J]. Journal of Software,2008,19(3):640649.(in Chinese)
|
[23] |
Hu Qinghua,Yu Daren,Xie Zongxia. Neighborhood classifiers[J]. Expert Systems with Applications,2008,34(2):866876.
|
[24] |
The mammography image analysis society[DB/OL].[20060901].http://www.wiau.man.ac.uk/services/MIAS/MIAS web.html.
|
[25] |
Ruan Qiuqi. Digital image processing[M]. Beijing:Publishing House of Electronics Industry,2001:481526.(in Chinese)
|
[26] |
Youssry N,Abouchadi F E Z,ElSayad A M. Early detection of masses in digitized mammograms using texture features and neuron fuzz model[C]∥Proc of the 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine,2003:226229.
|
[27] |
Miao Duoqian,Li Daoguo. Rough sets theory algorithms and applications[M]. Beijing:Tsinghua University Press,2008:246247.(in Chinese)
|
[28] |
Hu Qinghua,Yu Daren. Application of rough calculation[M].Beijing:Science Press,2012:8081.(in Chinese)
|
[29] |
Hu Qinghua,An Shuang,Yu Daren. Soft fuzzy rough sets for robust feature evaluation and selection[J]. Information Sciences,2010,180(22):43844400.
|
[30] |
Kleefeld A,Breuβ M,Welk M,et al. Adaptive filters for color images:Median filtering and its extensions[C]∥Proc of the 5th International Computational Color Imaging Workshop(CCIW’05),2015:149158.
|
[31] |
Liu Yong,Huang Wenliang,Jiang Yunliang,et al. Quick attribute reduct algorithm for neighborhood rough set model[J]. Information Sciences,2014,271(7):6581.
|
|
附中文参考文献:
|
[3] |
张超,蒋宏传. 舒怡乳腺诊断仪在乳腺癌诊断中的应用[J]. 中华肿瘤防治杂志,2010,17(19):16001604.
|
[4] |
谢国城. 基于超球体多类支持向量数据描述的医学图像分类方法研究[D]. 兰州:西北师范大学,2014.
|
[5] |
岳丽娟. 医学图像的特征提取与分类方法研究[D]. 无锡:江南大学,2013.
|
[6] |
徐久成,徐天贺,孙林. 基于邻域粗糙集和粒子群优化的肿瘤分类特征基因选取[J]. 小型微型计算机系统,2014,35(11):25282532.
|
[7] |
李卫伟. 基于融合的医学图像特征选择和分割方法研究[D]. 苏州:苏州大学,2010.
|
[8] |
杨宏薇. 肺结节特征提取和特征选择的研究及系统实现[D]. 重庆:重庆大学,2010.
|
[14] |
张文修,吴伟志,梁吉业.粗糙集理论与方法[M].北京:科学出版社,2005.
|
[22] |
胡清华,于达仁,谢宗霞. 基于邻域粒化和粗糙逼近的数值属性约简[J].软件学报,2008,19(3):640649.
|
[25] |
阮秋奇.数字图像处理学[M].北京:电子工业出版社,2001:481526.
|
[27] |
苗夺谦,李道国.粗糙集理论、算法与应用[M].北京:清华大学出版,2008:246247.
|
[28] |
胡清华,于达仁.应用粗糙计算[M].北京:科学出版社,2012:8081.
|