2016
DOI: 10.1118/1.4947126
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Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets

Abstract: Experimental results demonstrate the advantages of their method in terms of segmentation accuracy and consistency with the heart anatomy.

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Cited by 36 publications
(20 citation statements)
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“…ere are 800 retinal fundus images in the database with annotation for OD and OC given. We apply the proposed DRLSEC method, the multiphase C-V method [37], the distance regularized two-layer level set method (DR2LS) [29], and the proposed model without prior elliptic shape to carry out the segmentation of OD and OC regions. e comparisons between these experimental results are made to evaluate the segmentation performance of these methods.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…ere are 800 retinal fundus images in the database with annotation for OD and OC given. We apply the proposed DRLSEC method, the multiphase C-V method [37], the distance regularized two-layer level set method (DR2LS) [29], and the proposed model without prior elliptic shape to carry out the segmentation of OD and OC regions. e comparisons between these experimental results are made to evaluate the segmentation performance of these methods.…”
Section: Resultsmentioning
confidence: 99%
“…e DR2LS method is suitable for the extraction of object contour with circular structure. In [29], this method is used for contour extraction of endocardium and epicardium of the left ventricle. e contours of the OD and OC can be seen as a circular structure in fundus images.…”
Section: E Proposed Methodmentioning
confidence: 99%
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“…In the field of neural computing, the sub-parts are may further used to interpret relationship of the desired objects in the image or tissues for medical images [3,4]. Image segmentation has been studied for decades and many efforts have been devoted in the literature to proposing effective segmentation methods [5,6]. In particular, many methods have been proposed in the field of neural computing in recent years [7,8].…”
Section: Introductionmentioning
confidence: 99%