Pixel Position Regression - Application to medical image segmentation

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2004, Pages 718-721

  Van Ginneken, Bram ^a   Loog, Marco ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE APPEARANCE MODELS (AAM); ACTIVE SHAPE MODELS (ASM); MULTIPLE OBJECTS; PIXEL POSITION REGRESSION (PPR);

DATABASE SYSTEMS; DEFORMATION; MATHEMATICAL MODELS; MEDICAL IMAGING; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; VECTORS;

IMAGE SEGMENTATION;

EID: 10044239349     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334629     Document Type: Conference Paper

References (6)

1. S. Arya, D. Mount, N. Netanyahu, R. Silverman, and A. Wu. An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. Journal of the ACM, 45(6):891-923, 1998.
2. T. Cootes, G. Edwards, and C. Taylor. Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):681-685, 2001.
3. T. Cootes, C. Taylor, D. Cooper, and J. Graham. Active shape models - their training and application. Computer Vision and Image Understanding, 61(1):38-59, 1995.
4. D. Ruprecht and H. Müller. Image warping with scattered data interpolation. Computer Graphics and Applications, 15(2):37-43, 1995.
5. J. Shiraishi, S. Katsuragawa, J. Ikezoe, et al. Development of a digital image database for chest radiographs with and without a lung nodule. American Journal of Roentgenology, 174:71-74, 2000.
6. M. B. Stegmann, B. K. Ersbøll, and R. Larsen. FAME - a flexible appearance modelling environment. IEEE Transactions on Medical Imaging, 22(10):1319-1331, 2003.