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Independent component analysis를 이용한 의료영상의 자동분할에 관한 연구

Other Titles
 A Study of Automatic Medical Image Segmentation using Independent Component Analysis 
Authors
 배수현  ;  김남현  ;  김남형  ;  유선국 
Citation
 전기학회논문지 D, Vol.52(1) : 64-75, 2003 
Journal Title
전기학회논문지 D
ISSN
 1229-6287 
Issue Date
2003
MeSH
segmentation ; independent component analysis ; medical image ; statisically independent component
Keywords
segmentation ; independent component analysis ; medical image ; statisically independent component
Abstract
Medical image segmentation is the process by which an original image is partitioned into some homogeneous regions like bones, soft tissues, etc. This study demonstrates an automatic medical image segmentation technique based on independent component analysis. Independent component analysis is a generalization of principal component analysis which encodes the higher-order dependencies in the input in addition to the correlations. It extracts statistically independent components from input data. Use of automatic medical image segmentation technique using independent component analysis under the assumption that medical image consists of some statistically independent parts leads to a method that allows for more accurate segmentation of bones from CT data. The result of automatic segmentation using independent component analysis with square test data was evaluated using probability of error(PE) and ultimate measurement accuracy(UMA) value. It was also compared to a general segmentation method using threshold based on sensitivity(True Positive Rate), specificity(False Positive Rate) and mislabelling rate. The evaluation result was done statistical Paired-t test. Most of the results show that the automatic segmentation using independent component analysis has better result than general segmentation using threshold.
Files in This Item:
T200303577.pdf Download
DOI
OAK-2003-00443
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Kim, Nam Hyun(김남현)
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/113603
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