Browse > Article

의료영상 처리에서의 기계학습 응용사례  

Park, Sang-Cheol (전남대학교)
Lee, Myeong-Eun (전남대학교)
Na, In-Seop (전남대학교)
Kim, Su-Hyeong (전남대학교)
Publication Information
Communications of the Korean Institute of Information Scientists and Engineers / v.29, no.2, 2011 , pp. 55-64 More about this Journal
Keywords
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 S.C. Park, B.E. Chapman, and B. Zheng, "A multi-stage Approach to Improve Performance of Computer-aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation," IEEE Transactions on Biomedical Engineering (online published), 2010.
2 W.H. Cho, S.C. Park, M.E. Lee, and S.Y. Park, "Segmentation for Medical Image Using a Statistical Initial Process and a Level Set Method," MIAR2006, pp. 380-388, Aug. 2006.
3 A.P Dempster, N.M. Laird and D.B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Society Ser. B, vol. 39, pp. 1-38, 1977.
4 S. C. Park, Jun Tan, Xingwei Wang, Dror Lederman, Joseph K. Leader, Soo Hyung Kim and Bin Zheng, "Computer-aided detection of early interstitial lung diseases using low-dose CT images," Physics in Medicine and Biology, Vol. 56, No. 4, pp. 1139-1153, 2011.   DOI   ScienceOn
5 G. J. Taylor, "Neural Networks and Their Applications," New York: Wiley, 1996.
6 L. Fausett, "Fundamentals of Neural Networks," New Jersey: Prentice Hall, 1994.
7 E. Alpaydin, "Introduction to Machine Learning," MIT Press: Cambridge, MA, 2004.
8 이명은, 김수형, 김선월, 임준식, "기울기 벡터장과 조건부 엔트로피 결합에 의한 의료영상 정합", 정보처리학회논문지 B, 제17-B권 제4호, pp. 303-308, 2010.
9 W.H. Cho, S.W. Kim, M.E. Lee, S.H. Kim, S.Y. Park, C.B. Jeong, "Multimodality Image Registration using Spatial Procrustes Analysis and Modified Conditional Entropy", Journal of Signal Processing Systems, Vol. 52, pp. 101-114, 2009.
10 이명은, 김수형, 임준식, "명암도 기반의 의료영상 정 합을 위한 최적화 방법", 전자공학회 논문지, 제 46권 CI편 제 6호, pp. 1-6, 2009.
11 S.C. Park, R. Sukthankar, L. Mummert, M. Satyanarayanan, and B. Zheng, "Optimization of reference library used in content-based medical image retrieval scheme," Medical Physics, Vol. 34, No. 11, pp. 4331-4339, 2007.   DOI   ScienceOn
12 L.M. Gambardella and M. Dorigo, "Ant Colony System: A Cooperative Learning approach to the Traveling Salesman Problem," IEEE Transactions on Evolutionary Computation, Vol. 1, No.1, pp. 53-66, 1997.   DOI   ScienceOn
13 이명은, 김수형, 임준식, "개미 군집 최적화 알고리즘 을 이용한 뇌 자기공명 영상의 영역분할", 정보처리학회 논문지 B, 제16-B권 제3호, pp. 195-202, 2009.
14 F. Mases, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, "Multimodality image registration by maximization of mutual information," IEEE Transaction on Medical Imaging, Vol. 16, No. 2, pp. 197-198, 1997.
15 X.H. Wang, S.C. Park, and B. Zheng, "Improving performance of content-based image retrieval schemes in searching for similar breast mass regions: an assessment," Physics in Medicine and Biology, Vol. 54, No. 4, pp. 949-961, 2009.   DOI   ScienceOn
16 A.C. Kak and M. Slaney, "Principles of computerized tomographic imaging," IEEE Press, Piscataway, NJ, 1988.
17 S.C. Park, J. Pu, B. Zheng, "Improving Performance of Computer-Aided Detection Scheme by Combining Results from Two Machine Learning Classifiers," Academic Radiology Vol. 16, No. 3, pp. 266-274, Mar. 2009.   DOI   ScienceOn
18 R. Novelline, "Squire's Fundamentals of Radiology," Harvard University Press. 5th edition. 1997.
19 S.C. Park, B. Zheng, X.H. Wang, D. Gur, "Applying a 2D based CAD scheme for detecting micro-calcification clusters using digital breast tomosynthesis images: an assessment," Proc. SPIE, Medical Imaging 2008, Vol. 6915, pp. 38, San Diego, USA, Feb. 2008.
20 J. Woo, "A short history of the developments of ultrasound in obstetrics and gynecology," http://www. ob-ultrasound.net/hydrophone.html, retrieved in Dec. 2010.
21 Y. Ikedo, D. Fukuoka, T. Hara, H. Fujita, E. Takada, T. Endo and T. Morita, "Development of a fully automatic scheme for detection of masses in whole breast ultrasound images," Medical Physics, Vol. 34, No. 11, pp. 4378-4388, 2007.   DOI   ScienceOn
22 A. Filler, "The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DT," Internet Journal of Neurosurgery, Vol. 7, No. 1, 2009.
23 B. Zheng, Y.H. Chang and D. Gur "Computerized detection of masses in digitized mammograms using single image segmentation and a multi-layer topographic feature analysis," Acad. Radiol., Vol. 2, pp. 959-966, 1995.   DOI   ScienceOn
24 I. El-Naqa, Y. Yang, N.P. Galatsanos, R.M. Nishikawa, M.N. Wernick, "A similarity learning approach to content-based image retrieval: application to digital mammography," IEEE Trans. Med. Imaging, Vol. 23, pp. 1233-1244, 2004.   DOI   ScienceOn
25 H. Muller, "Benefits of content-based visual data access in radiology ," Radiographics, Vol. 25, pp. 849-58, 2005.   DOI   ScienceOn
26 S.C. Park, X.H. Wang, B. Zheng, "Assessment of Performance Improvement in Content-based Medical Image Retrieval Schemes using Fractal Dimension," Academic Radiology, Vol. 16, No. 10, pp. 1171-1178, 2009.   DOI   ScienceOn
27 A. Alavi, "PET Imaging II," Radiologic Clinics of North America, Vol. 43. pp. xiii-xv, 2005.   DOI
28 H. Guan, T. Kubota, X. Huang, X. S. Zhou, and M. Turk, "Automatic hot spot detection and segmentation in whole body fdg-pet images," In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2006.