Segmentation of multiple organs in non-contrast 3D abdominal CT images

Kobatake H (2007). Future CAD in multi-dimensional medical images - project on multi-organ, multi-disease CAD system -. Comput Med Imaging Graph 31(4–5): 258–266

Park H, Bland PH and Meyer CR (2003). Construction of an abdominal probabilistic atlas its application in segmentation. IEEE Trans Med Imaging 22(4): 483–492

Yang J, Staib L and Duncan J (2004). Neighbor-constrained segmentation with level set based 3-D deformable models. IEEE Trans Med Imaging 23(8): 940–948

Tsai A, Wells W and Tempany C (2003). Coupled multi-shape model and mutual information for medical image segmentation. Inf Process Med Imaging 18: 185–197

Yan P, Shen W, Kassim AA et al (2005) Segmentation of neighboring organs in medical image with model competition. In: Proceedings of MICCAI 2005, LNCS3749, pp 270–277

Maintz JBA and Viergever MA (1998). A survey of medical image registration. Med Image Anal 2: 1–36

PressWH, Flannery BP, TeukolskySAet al (1995) Numerical recipes in C, 2nd edn. Cambridge University Press, Kluwer, London, Dordrecht, pp 412–420

Ghahramami Z, Jordan M (1995) Learning from incomplete data. Technical Report AI Lab Memo no. 1509, CBCL Paper no. 108, MIT AI Lab

Okumura T, Yamamoto S and Matsumoto M (1998). The lung region extraction in the chest CT images by the active cylinder model. Med Imaging Technol 16(1): 61–71

Chan TF and Vese LF (2001). Active contours without edges. IEEE Trans Image Process 10(2): 266–277

Caselles V, Kimmel R and Sapiro G (1997). Geodesic active contours. Int J Comput Vis 22(1): 61–79

Yao C, Wada T and Shimizu A (2006). Probabilistic atlas-guided Eigen-organ method for simultaneous bounding box estimation of multiple organs in volumetric CT images. Med Imaging Technol 24(3): 191–200