基于弱监督ECOC算法的肺结节辅助检测

[1] Learning from partial labels. Cour, Timothee,Sapp, Benjamin,Taskar, Ben. Journal of Machine Learning Research . 2011

[2] Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classification. Liu H,Zhang C M,Su Z Y,et al. Computational and Mathematical Methods in Medicine . 2015

[3] Disambiguation-free partial label learning. Zhang M L. Proceeding of the 14th SIAM International Conference on Data Mining (SDM14) . 2014

[4] Learning error-correcting output codes form data. Alpaydin E,Mayoraz E. Proceeding of the 9th Internet Conference on Artificial Neural Networks . 1999

[5] Image classification using SVMs One-against-one vs one-against-all. Anthony G,Gregg H,Tshilidzi M. Proceeding of the 28th Asian Conference on Remote Sensing . 2007

[6] Facial expression recognitionusing graph-based features and artificial neural networks. Tanchotsrinon C,Phimoltares S,Maneeroj S. Imaging Systems andTechniques (IST),2011IEEE International Conference on . 2011

[7] The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Armato Samuel G,McLennan Geoffrey,Hawkins Drive,Bidaut Luc,McNitt-Gray Michael F,Meyer Charles R,Reeves Anthony P,Zhao Binsheng,Aberle Denise R,Henschke Claudia I,Hoffman Eric A,Kazerooni Ella A,MacMahon Heber,Van Beeke Edwin J R,Yankelevitz. Medical Physics . 2011

[8] Local Adaptive SVM for Object Recognition. Zaidi N.A,Squire. M. Digital Image Computing: Techniques and Applications (DICTA), International Conference on . 2010

[9] 一种基于多视图数据的半监督特征选择和聚类算法 [J]. 数据采集与处理, 2015, 30 (01) : 106 - 116

[10] Cancer statistics, 2014[J] . Rebecca Siegel,Jiemin Ma,Zhaohui Zou,Ahmedin Jemal. &nbspCA A Cancer Journal for Clinicians . 2014 (1)

[1] Learning from partial labels. Cour, Timothee,Sapp, Benjamin,Taskar, Ben. Journal of Machine Learning Research . 2011

[2] Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classification. Liu H,Zhang C M,Su Z Y,et al. Computational and Mathematical Methods in Medicine . 2015

[3] Disambiguation-free partial label learning. Zhang M L. Proceeding of the 14th SIAM International Conference on Data Mining (SDM14) . 2014

[4] Learning error-correcting output codes form data. Alpaydin E,Mayoraz E. Proceeding of the 9th Internet Conference on Artificial Neural Networks . 1999

[5] Image classification using SVMs One-against-one vs one-against-all. Anthony G,Gregg H,Tshilidzi M. Proceeding of the 28th Asian Conference on Remote Sensing . 2007

[6] Facial expression recognitionusing graph-based features and artificial neural networks. Tanchotsrinon C,Phimoltares S,Maneeroj S. Imaging Systems andTechniques (IST),2011IEEE International Conference on . 2011

[7] The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Armato Samuel G,McLennan Geoffrey,Hawkins Drive,Bidaut Luc,McNitt-Gray Michael F,Meyer Charles R,Reeves Anthony P,Zhao Binsheng,Aberle Denise R,Henschke Claudia I,Hoffman Eric A,Kazerooni Ella A,MacMahon Heber,Van Beeke Edwin J R,Yankelevitz. Medical Physics . 2011

[8] Local Adaptive SVM for Object Recognition. Zaidi N.A,Squire. M. Digital Image Computing: Techniques and Applications (DICTA), International Conference on . 2010

[9] 一种基于多视图数据的半监督特征选择和聚类算法 [J]. 数据采集与处理, 2015, 30 (01) : 106 - 116

[10] Cancer statistics, 2014[J] . Rebecca Siegel,Jiemin Ma,Zhaohui Zou,Ahmedin Jemal. &nbspCA A Cancer Journal for Clinicians . 2014 (1)