A reliable skin mole localization scheme

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Taeg, Sang Cho ^a   Freeman, William T ^a   Tsao, Hensin ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTERNATIONAL CONFERENCES; PATTERN CHANGING; SKIN REGIONS;

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; GRAPHIC METHODS; IMAGE PROCESSING; IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES; WAVE FILTERS;

SKIN;

EID: 50649120861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409144     Document Type: Conference Paper

References (20)

1. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines. 2001.
2. M. J. Choi. Multiscale gaussian graphical models and algorithms for large-scale inference. Master's thesis, Massachusetts Institute of Technology, 2007.
3. W. T. Freeman and E. H. Adelson. The design and use of steerable filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38:587-607, 1991.
4. H. Ganster, A. Pinz, R. Rohrer, E. Wildling, M. Binder, and H. Kittler. Automated melanoma recognition. IEEE Transactions on Medical Imaging, 20:233-239, 2001.
5. C.-W. Hsu, C.-C. Chang, and C.-J. Lin. A practical guide to support vector classification. http://www.csie.ntu.edu.tw/cjlin/papers/guide/guide.pdf.
6. R.-L. Hsu, M. Abdel-Mottaleb, and A. K. Jain. Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:696, 2002.
7. M. Jones and J. Rehg. Statistical color models with application to skin detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1999.
8. M. Jordan and Y. Weiss. Graphical models: probabilistic inference. In M. Arbib, editor, Handbook of Neural Networks and Brain Theory 2nd edition. MIT Press, 2002.
9. T. Lee, S. Atkins, M. King, S. Lau, and D. McLean. Counting moles automatically from back images. IEEE Transactions on Biomedical Engineering, 52:1966-1969, 2005.
10. T. Lee, V. Ng, R. Gallagher, A. Coldman, and D. McLean. Dullrazor: A software approach to hair removal from images. Computers in Biology and Medicine, 27:533-543, 1997.
11. D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 2:91-110, 2004.
12. J.-S. Pierrard and T. Vetter. Skin detail analysis for face recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007.
13. P. Schmid-Saugeon, J. Guillod, and J.-P. Thiran. Towards a computer-aided diagnosis system for pigmented skin lesions. Computerized Medical Imaging and Graphics, 27:65-78, 2003.
14. E. Simoncelli. Matlab pyramid tools. http://www.cns.nyu.edu/ lcv/software.html.
15. A. Torralba, A. Oliva, M. Castelhano, and J. M. Henderson. Contextual guidance of attention in natural scenes: The role of global features on object search. Psychological Review, 113(4):766-786, 2006.
16. H. Tsao, M. Atkins, and A. Sober. Management of cutaneous melanoma. The New England Journal of Medicine, 351(10):998-1012, 2004.
17. V. Vezhnevets, V. Sazonov, and A. Andreeva. A survey on pixel-based skin color detection techniques. In Graphicon, 2003.
18. M. Wainwright and M. Jordan. Graphical models, exponential families, and variational inference. Technical report, University of California, Berkeley, 2003.
19. Z. Zhang, W. Stoecker, and R. Moss. Border detection on digitized skin tumor images. IEEE Transactions on Medical Imaging, 19:1128-1143, 2000.
20. K. Zuiderveld. Contrast limited adaptive histogram equalization. In P. Heckbert, editor, Graphics Gems IV, pages 474-485. Academic Press, Boston, 1994.