[1]
|
Nakayama, Y., Li, Q., Katsuragawa, S., Ikeda, R., Hiai, Y., Awai, K., Kusunoki, S., Yamashita, Y., Okajima, H., Inomata, Y., et al. (2006) Automated Hepatic Volumetry for Living Related Liver Transplantation at Multisection CT 1. Radiology, 240, 743-748. http://dx.doi.org/10.1148/radiol.2403050850
|
[2]
|
Jiang, S.B. (2006) Radiotherapy of Mobile Tumors. Seminars in Radiation Oncology, 16, 239-248. http://dx.doi.org/10.1016/j.semradonc.2006.04.007
|
[3]
|
Campadelli, P., Casiraghi, E. and Esposito, A. (2009) Liver Segmentation from computed Tomography Scans: A Survey and a New Algorithm. Artificial Intelligence in Medicine, 45, 185-196. http://dx.doi.org/10.1016/j.artmed.2008.07.020
|
[4]
|
Heimann, T., van Ginneken, B., Styner, M.A., et al. (2009) Comparison and Evaluation of Method for Liver Segmentation from CT Datasets. IEEE Transactions on Medical Imaging, 28, 1251-1264. http://dx.doi.org/10.1109/TMI.2009.2013851
|
[5]
|
Mharib, A.M., Ramli, A.R., Mashohor, S. and Mahmood, R.B. (2012) Survey on Liver CT Image Segmentation Methods. Artificial Intelligence Review, 37, 83-95. http://dx.doi.org/10.1007/s10462-011-9220-3
|
[6]
|
Lee, J., Kim, N., Lee, H., Seo, J.B., Won, H.J., Shin, Y.M., Shin, Y.G. and Kim, S.-H. (2007) Efficient Liver Segmentation Using a Level-Set Method with Optimal Detection of the Initial Liver Boundary from Level-Set Speed Images. Computer Methods and Programs in Biomedicine, 88, 26-38. http://dx.doi.org/10.1016/j.cmpb.2007.07.005
|
[7]
|
Casciaro, S., Franchini, R., Massoptier, L., Casciaro, E., Conversano, F., Malvasi, A. and Lay-Ekuakille, A. (2012) Fully Automatic Segmentations of liver and Hepatic Tumors from 3-D Computed Tomography Abdominal Images: Comparative Evaluation of Two Automatic Methods. IEEE Sensors Journal, 12, 464-473. http://dx.doi.org/10.1109/JSEN.2011.2108281
|
[8]
|
Whitaker, R.T. and Xue, X. (2001) Variable-Conductance, Level-Set Curvature for Image Denoising. Proceedings of International Conference on Image Processing, 7-10 October 2001, Thessaloniki, 142-145.
|
[9]
|
Massoptier, L. and Casciaro, S. (2007) Fully Automatic Liver Segmentation through Graph-Cut Technique. Proceeding of the 29th Annual International Conference of the IEEE EMBS, Lyon, 23-26 August 2007, 5243-5246.
|
[10]
|
Comaniciu, D. and Meer, P. (2002) Mean Shift: A Robust Approach toward Feature Space Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 603-619. http://dx.doi.org/10.1109/34.1000236
|
[11]
|
Osher, S. and Sethian, J.A. (1988) Fronts Propagating with Curvature-Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations. Journal of Computational Physics, 79, 12-49. http://dx.doi.org/10.1016/0021-9991(88)90002-2
|
[12]
|
Zhang, K.H., Zhang, L., Song, H.H. and Zhang, D. (2013) Reinitializaion-Free Level Set Evolution via Reaction Diffusion. IEEE Transactions on Image Processing, 22, 258-271. http://dx.doi.org/10.1109/TIP.2012.2214046
|
[13]
|
Li, C.M., Xu, C.Y., Gui, C.F. and Fox, M.D. (2005) Level Set Evolution without Re-Initialization: A New Variational Formulation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 430-436.
|
[14]
|
Li, C.M., Xu, C.Y., Gui, C.F. and Fox, M.D. (2010) Distance Regularized Level Set Evolution and Its Application to Image Segmentation. IEEE Transactions on Image Processing, 19, 3243-3254. http://dx.doi.org/10.1109/TIP.2010.2069690
|
[15]
|
Merriman, B., Bence, J.K. and Osher, S.J. (1994) Motion of Multiple Junctions: A Level Set Approach. Journal of Computational Physics, 112, 334-363. http://dx.doi.org/10.1006/jcph.1994.1105
|
[16]
|
Caselles, V., Kimmel, R. and Sapiro, G. (1997) Geodesic Active Contours. International Journal of Computer Vision, 22, 61-79. http://dx.doi.org/10.1023/A:1007979827043
|
[17]
|
Huang, D.Y., Lin, T.W. and Hu, W.C. (2011) Automatic Multilevel Thresholding Based on Two-Stage Otsu’s Method with Cluster Determination by Valley Estimation. ICIC International Journal of Innovative Computing, Information and Control, 7, 5631-5644.
|
[18]
|
Otsu, N. (1979) A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on System, Man and Cybernetics, 9, 62-66.
|
[19]
|
Hu, Q.M., Hou, Z.J. and Nowinski, W.L. (2006) Supervised Range-Constrained Thresholding. IEEE Transactions on Image Processing, 15, 228-240. http://dx.doi.org/10.1109/TIP.2005.860348
|
[20]
|
Qiao, Y., Hu, Q.M., Qian, G.Y., Luo, S.H. and Nowinski, W.L. (2007) Thresholding Based on Variance and Intensity Contrast. Pattern Recognition, 40, 596-608. http://dx.doi.org/10.1016/j.patcog.2006.04.027
|
[21]
|
Xu, X.Y., Xu, S.Z., Jin, L.H. and Song, E. (2011) Characteristic Analysis of Otsu Threshold and Its Applications. Pattern Recognition Letters, 32, 956-961. http://dx.doi.org/10.1016/j.patrec.2011.01.021
|
[22]
|
Smith, N.B. and Webb, A. (2010) Introduction to Medical Imaging: Physics, Engineering and Clinical Applications. Cambridge University Press, Cambridge. http://dx.doi.org/10.1017/CBO9780511760976
|
[23]
|
Dice, L.R. (1945) Measures of the Amount of Ecologic Association between Species. Ecology, 26, 297-302. http://dx.doi.org/10.2307/1932409
|
[24]
|
Balafar, M. (2011) Spatial Based Expectation Maximizing (EM). Diagnostic Pathology, 6, 1-14. http://dx.doi.org/10.1186/1746-1596-6-103
|