About: A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation
Creator	Ma, Jun Wang, Dong Yang, Xiaoping Wang, Xiao-Ping
source	ArXiv
abstract	The geodesic active contour model (GAC) is a commonly used segmentation model for medical image segmentation. The level set method (LSM) is the most popular approach for solving the model, via implicitly representing the contour by a level set function. However, the LSM suffers from high computation burden and numerical instability, requiring additional regularization terms or re-initialization techniques. In this paper, we use characteristic functions to implicitly approximate the contours, propose a new representation to the GAC and derive an efficient algorithm termed as the iterative convolution-thresholding method (ICTM). Compared to the LSM, the ICTM is simpler and much more efficient and stable. In addition, the ICTM enjoys most desired features (e.g., topological changes) of the level set-based methods. Extensive experiments, on 2D synthetic, 2D ultrasound, 3D CT, and 3D MR images for nodule, organ and lesion segmentation, demonstrate that the ICTM not only obtains comparable or even better segmentation results (compared to the LSM) but also achieves dozens or hundreds of times acceleration.
has issue date	2020-07-01(xsd:dateTime)
has license	arxiv
sha1sum (hex)	0c1e353ff79d0120e3e224bac9dde7f6ef74d440
resource representing a document's title	A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation
resource representing a document's body	covid:0c1e353ff79d0120e3e224bac9dde7f6ef74d440#body_text
is schema:about of	named entity 'efficient' named entity 'Image' named entity 'Contours' named entity 'iterative' named entity 'level' »more»

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