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
Age-related White Matter Changes (WMC) on Magnetic Resonance Imaging (MRI) are known to appear frequently in Multiple sclerosis (MS) and Alzheimer’s disease and to be related to cognitive impairment. The characterization of these WMC is very important to the study of psychology and aging. These changes consist of periventricular and subcortical types, however it is difficult to detect and segment WMC using only intensity-based methods, because their intensity level is similar to that of the gray matter (GM). In this paper, we propose a new method of segmenting periventricular WMC using K-means clustering and morphological features
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참고문헌 (21)
참고문헌 신청
/ 1978. / A threshold selection method from gray-level histogram IEEE Transactions on System : 62 ~ 8 66
/ 1984. / K-means-type algorithms 6 : 81 ~ 87
/ 1990. / Risk factors for white matter changes detected by magnetic resonance imaging in the elderly 21 pp. 1424
/ 1992. / A Comparative Analysis of Several Transformations for Enhancement and Segmentation of Magnetic Resonance Image Scene Sequences 11 (3) : 302 ~ 318
/ 1992. / Digital Image Processing
/ 1984. / K-means-type algorithms 6 : 81 ~ 87
/ 1990. / Risk factors for white matter changes detected by magnetic resonance imaging in the elderly 21 pp. 1424
/ 1992. / A Comparative Analysis of Several Transformations for Enhancement and Segmentation of Magnetic Resonance Image Scene Sequences 11 (3) : 302 ~ 318
/ 1992. / Digital Image Processing
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