An Automatic Algorithm for Vessel Segmentation in X-Ray Angiogram using Random Forest
![]() |
Jung, Sunghee
(Brain Korea 21 Project for Medical Science, Yonsei University)
Lee, Soochahn (Department of Electronic Engineering, Soonchunhyang University) Shim, Hackjoon (Cardiovascular Research Institute, Yonsei University College of Medicine) Jung, Ho Yub (Division of Computer & Electronic Systems Engineering, Hankuk University of Foreign Studies) Heo, Yong Seok (Department of Electrical and Computer Engineering, Ajou University) Chang, Hyuk-Jae (Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine) |
1 | A.F. Frangi, W.J. Niessen, K.L. Vincken, M.A. Viergever, "Multiscale vessel enhancement filtering," in Medical Image Computing and Computer-Assisted Intervention - MICCAI'98, Lecture Notes in Computer Science, vol. 1496 - Springer Verlag, Berlin, Germany, Oct. 1998, pp. 130-137. |
2 | K. Krissian, G. Malandain, N. Ayache, R. Vaillant, and Y. Trousset, "Model based detection of tubular structures in 3D images," Computer Vision and Image Understanding, vol. 80, no. 2, pp. 130-171, 2000. DOI |
3 | Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B. "An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation." Biomedical Engineering, IEEE Transactions on vol. 59, no. 9, pp. 2538-2548, 2012. DOI ScienceOn |
4 | Gupta, V., Kale, A., & Sundar, H. "A robust and accurate approach to automatic blood vessel detection and segmentation from angiography x-ray images using multistage random forests," in SPIE Medical Imaging 2012: Computer-Aided Diagnosis, vol. 8315, pp. 83152F-83152F-6 |
5 | L. Breiman, "Bagging Predictors." Machine Learning, vol. 24, no. 2, pp. 123-140, 1996. DOI |
6 | T. Ho, "The random subspace method for constructing decision forests." Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 20, no. 8, pp. 832-844, 1998. DOI |
7 | L. Breiman, "Random Forests," Machine Learning, vol. 45, no. 1, pp. 5-32, 2001. DOI |
8 | Open Source Computer Vision Library, http://opencv.org. |
![]() |