Kostis W J,Reeves A P,Yankelewitz D F,et al.Three-dimensional segmentation and growth-rote estimation of small pulmonary nodules in helical CT images[J].IEEE Transactions on Medical Imaging,2003,22(10):1259-1274.
[2]
Okada K,Comaniciu D,Krishnan A.Robust anisotropic Gaussian fitting for volumetfie characterization of pulmonary nodules in multislice CT[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25 (2):281-288.
[3]
Li Q,Sons S,Doi K.Selective enhancement filters for nodules,vessels,and airway walls in two-and three-dimensional CT scans[J].Medical Physics,2003,30(8):2040-2051.
[4]
Gady A,Samuel G,Armato I I I,et al.Vessel tree reconstruction in thoracic CT scans with application to nodule detection[J].IEEE Transactions on Medical Imaging,2005,2,4(4):486-499.
[5]
Jun Z,James W M,Fellow,et al.Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation[J].IEEE Transactions on Image Processing,1994,3 (4):404-420.
[6]
Comaniciu D.An algorithm for data-driven bandwidth selection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25(2):281-288.
[7]
Ning X,Narendra A,Ravi B.Automated lung nodule segmentation using dynamic programming and EM based classification[J].SPIE Medical Imaging,2002,4684 (5):666-676.
[8]
Sun Shen-shen,Li Hong,Hou Xin-ran,et al.Automatic segmentationof pulmonary nodules in CT images[A].In:Proceedings of the IEEE International Conference on 1st Bioinformatic and Biomedical Engineering[C],Wuhan,2007:790-793.
[9]
Gady A,Changhua W.Probabilistic modeling based vessel enhancement in thoracic CT scans[A].In:Proceedings of International Conference on Computer Vision and Pattern Recognition[C],San Diego,CA,USA,2005,2:684-689.
[10]
Comaniciu D,Meer P.Mean shift:A robust approach toward feature space analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24 (5):603-619.