1. Yoo, T.S. Insight into images: principles and practice for segmentation, registration, and image analysis / T.S. Yoo. - Wesllesley, Massachusetts : A. K. Peters, 2004. - P. 100-120.
2. Borenstein, E. Class-specific, top-down segmentation / E. Borenstein, S. Ullman // Computer Vision ECCV. - 2002. - Vol. 2. - P. 639-641.
3. Levin, A. Learning to combine bottom-up and top-down segmentation / A. Levin, Y. Weiss // Computer Vision ECCV. - 2006. - Vol. 1. - P. 581-594.
4. Leibe, B. Pedestrian detection in crowded scenes / B. Leibe, E. Seemann, B. Schiele // IEEE. - 2005. - Vol. 2. - P. 878-885.
5. Ferrari, V. Object detection by contour segment networks / V. Ferrari, T. Tuytelaars, L. Van Gool // Computer Vision ECCV. - 2006. - Vol. 3. - P. 14-28.
6. Kokkinos, I. Bottom-up & top-down object detection using primal sketch features and graphical models / I. Kokkinos, P. Maragos, A. Yuille // IEEE. - 2006. - Vol. 7. - P. 1893-1900.
7. Zhao, L. Closely coupled object detection and segmentation / L. Zhao, L.S. Davis // IEEE. -2005. - Vol. 6. - P. 454-461.
8. Ren, X. Recovering human body configurations using pairwise constraints between parts /X. Ren, A.C. Berg, J. Malik // IEEE. - 2005. - Vol. 5. - P. 824-831.
9. Recovering human body configurations: Combining segmentation and recognition / G. Mori [et al.] // IEEE. - 2004. - Vol. 2. - P. 323-326.
10. Srinivasan, P. Bottom-up recognition and parsing of the human body / P. Srinivasan, J. Shi // CVPR. - USA : Springer, 2007. - P. 153-168.
11. Felzenszwalb, P.F. Pictorial structures for object recognition / P.F. Felzenszwalb, D.P. Huttenlocher // International Journal of Computer Vision. - 2005. - Vol. 61, № 1. - P. 55-79.
12. Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach / J. Dehmeshki [et al.] // Medical Imaging, IEEE Transactions on. - 2008. - Vol. 27, № 4. - P. 467-480.
13. Quantitative surface characterization of pulmonary nodules based on thin-section CT images / Y. Kawata [et al.] // Nuclear Science, IEEE Transactions on. - 1998. - Vol. 45, № 4. - P. 2132-2138.
14. Segmentation of nodules on chest computed tomography for growth assessment / W. Mullally [et al.] // Medical physics. - 2004. - Vol. 31. - P. 839.
15. Jain, A.K. Object matching using deformable templates / A.K. Jain, Y. Zhong, S. Lakshmanan // Pattern Analysis and Machine Intelligence, IEEE Transactions on. - 1996. - Vol. 18, № 3. - P. 267-278.
16. Deformable Organisms: An Artificial Life Framework for Automated Medical Image Analysis / G. Hamarneh [et al.] // Computational Intelligence In Medical Imaging : Techniques and Applications. - 2009. - Vol. 1. - P. 433.
17. A method for identification and visualization of histological image structures relevant to the cancer patient conditions / V. Kovalev // Computer Analysis of Images and Patterns. - 2011. - Vol. 6854, № 1. - P. 460-468.
Послать статью по эл. почте 