암 진단에서의 의료 IT - 디지털 의료영상분석

  • 발행 : 2015.09.30

초록

키워드

참고문헌

  1. R.C. Gonzalez, R.E. Wools, "Digital image processing" Prentice Hall, pp. 689-787, 2008.
  2. J.R. Parker, "Algorithms for image processing and computer vision" John-Wiley & Sons, pp. 116-149, 1997.
  3. L. Vincent, and P. Soille, "Watersheds in digital spaces: An efficient algorithm based on immersion simulations," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 13 pp. 583-397, 1991. https://doi.org/10.1109/34.87344
  4. C. Xu, DL. Pham and JL. Prince, "Medical image segmentation using deformable models" SPIE Press, pp. 129-174, 2000.
  5. Y.S. Lee and H.K. Choi, "A Hippocampus Segmentation in Brain MR Images using Level-Set Method," Journal of Korea Multimedia Society, Vol. 15 No. 9, pp.1075-1085, 2012. https://doi.org/10.9717/kmms.2012.15.9.1075
  6. A.C. Ruifrok and D.A. Johnston, "Quantification of histochemical staining by color deconvolution," Analytical Quantitative Cytology and Histology. Vol. 23, pp. 291-299, 2001.
  7. Y. Wang, S.C. Chang, L.W Wu et al. "A color-based approach for automated segmentation in tumor tissue classification," In:Proc. Conf. of the IEEE Engineering in Medicine and Biology Society, pp. 6577-6580, 2007.
  8. E. Reinhard, M. Adhikhmim, B. Gooch, and P. Shieley, "Color transfer between images," IEEE Computer Graphics and Applications Vol. 21, No. 5, pp. 34-41, 2001. https://doi.org/10.1109/38.946629
  9. S.J. Lockett and B. Herman, "Automatic detection of clustered, fluorescent stained nuclei by digital image-based cytometry," Cytometry, Vol 17, pp. 1-12, 1994. https://doi.org/10.1002/cyto.990170102
  10. R.J. Sears, C.W. Duckworth et al., "Image cytometry as a discriminant tool for cytologic speciments obtained by endoscopic retrograde cholangiopancreatography," Cancer Cytopathology, Vol 84, No. 2, pp. 119-126, 1998 https://doi.org/10.1002/(SICI)1097-0142(19980425)84:2<119::AID-CNCR9>3.0.CO;2-K
  11. H.J. Choi and H.K. Choi. "Grading of renal cell carcinoma by 3D morphological analysis of cell nuclei," Computers in Biology and Medicine Vol. 37, No. 9, pp. 1334-1341, 2007. https://doi.org/10.1016/j.compbiomed.2006.12.008
  12. K. Rodenacker and E. Bengtsson, "A Feature set for cytometry on digitized microscopic images," Analytical Cellular Pathology, Vol. 25, pp. 1-36, 2003. https://doi.org/10.1155/2003/548678
  13. L.E. Boucheron, "Object-and spatial-level quantitative analysis of multispectral histopathology images for detection and characterization of cancer," Ph.D. Thesis, 2008.
  14. R.M. Haralick, K. Shanmugam and I. Dinstein, "Texture Feature for Image Classification," IEEE Trans. On System, Man, and Cybernetics, Vol. SMC-3, No. 6, pp. 610-624, 1973. https://doi.org/10.1109/TSMC.1973.4309314