지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The purpose of this study is to develop an automatic algorithm for vessel segmentation in X-Ray angiogram using Random Forest (RF). The proposed algorithm is composed of the following steps: First, the multiscale hessian-based filtering is performed in order to enhance the vessel structure. Second, eigenvalues and eigenvectors of hessian matrix are used to learn the RF classifier as feature vectors. Finally, we can get the result through the trained RF. We evaluated the similarity between the result of proposed algorithm and the manual segmentation using 349 frames, and compared with the results of the following two methods: Frangi et al. [1] and Krissian et al. [2]. According to the experimental results, the proposed algorithm showed high similarity compared to other two methods.
목차
등록된 정보가 없습니다.
참고문헌 (8)
참고문헌 신청
/ / Open Source Computer Vision Library
A. F. Frangi / 1998 / Multiscale vessel enhancement filtering / Medical Image Computing and Computer-Assisted Intervention - MICCAI’98, Lecture Notes in Computer Science 1496 : 13
Fraz, M. M. / 2012 / An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation / Biomedical Engineering, IEEE Transactions on 59 (9) : 2538 ~ 254
Gupta, V. / 2012 / A robust and accurate approach to automatic blood vessel detection and segmentation from angiography x-ray images using multistage random forests / SPIE Medical
K. Krissian / 2000 / Model based detection of tubular structures in 3D images / Computer Vision and Image Understanding 80 (2) : 130 ~ 171
A. F. Frangi / 1998 / Multiscale vessel enhancement filtering / Medical Image Computing and Computer-Assisted Intervention - MICCAI’98, Lecture Notes in Computer Science 1496 : 13
Fraz, M. M. / 2012 / An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation / Biomedical Engineering, IEEE Transactions on 59 (9) : 2538 ~ 254
Gupta, V. / 2012 / A robust and accurate approach to automatic blood vessel detection and segmentation from angiography x-ray images using multistage random forests / SPIE Medical
K. Krissian / 2000 / Model based detection of tubular structures in 3D images / Computer Vision and Image Understanding 80 (2) : 130 ~ 171
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