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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.071
Abstract: Abstract Efficient and accurate segmentation of prostate is of great interest in image-guided prostate interventions and diagnosis of prostate cancer. In this paper, a novel hierarchical level set clustering approach is proposed to segment prostate…
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Keywords:
prostate;
segmentation;
level set;
shape prior ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.01.093
Abstract: The task of segmenting nuclei and cytoplasm in Papanicolau smear images is one of the most challenging tasks in automated cervix cytological analysis owing to the high degree of overlapping, the multiform shape of the…
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Keywords:
cervix cytological;
examination based;
shape;
shape prior ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3100268
Abstract: Shape from focus (SFF) reconstructs 3D shape of the scene from a sequence of multi-focus images, and the quality of reconstructed shape mainly depends on the accuracy of image focus volume (FV). Traditional SFF techniques…
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Keywords:
focus volume;
shape;
shape priors;
focus ... See more keywords
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Published in 2019 at "Journal of Healthcare Engineering"
DOI: 10.1155/2019/2745183
Abstract: Accurate optic disc (OD) detection is an essential yet vital step for retinal disease diagnosis. In the paper, an approach for segmenting OD boundary without manpower named full-automatic double boundary extraction is designed. There are…
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Keywords:
information;
shape prior;
prior information;
optic disc ... See more keywords
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Published in 2020 at "Traitement du Signal"
DOI: 10.18280/ts.370211
Abstract: Received: 19 October 2019 Accepted: 28 January 2020 In vehicle image segmentation, the traditional graph cut algorithm often have errors, when the original image contains shadows or complex background. To overcome the errors, this paper…
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Keywords:
image;
shape prior;
vehicle;
graph cut ... See more keywords