Glass-cutting medical images via a mechanical image segmentation method based on crack propagation

Automatic segmentation of complex medical images is challenging. Here, the authors present a crack propagation method based on the principles of fracture mechanics: extracting the boundary information of the target area by tracing the crack propagation on a thin plate with grooves corresponding to t...

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Detalles Bibliográficos
Autores principales:	Yaqi Huang, Ge Hu, Changjin Ji, Huahui Xiong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/44f3d8eb95ef4169a591d48000147278
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spelling	oai:doaj.org-article:44f3d8eb95ef4169a591d480001472782021-12-02T15:37:17ZGlass-cutting medical images via a mechanical image segmentation method based on crack propagation10.1038/s41467-020-19392-72041-1723https://doaj.org/article/44f3d8eb95ef4169a591d480001472782020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19392-7https://doaj.org/toc/2041-1723Automatic segmentation of complex medical images is challenging. Here, the authors present a crack propagation method based on the principles of fracture mechanics: extracting the boundary information of the target area by tracing the crack propagation on a thin plate with grooves corresponding to the area edge.Yaqi HuangGe HuChangjin JiHuahui XiongNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yaqi Huang Ge Hu Changjin Ji Huahui Xiong Glass-cutting medical images via a mechanical image segmentation method based on crack propagation
description	Automatic segmentation of complex medical images is challenging. Here, the authors present a crack propagation method based on the principles of fracture mechanics: extracting the boundary information of the target area by tracing the crack propagation on a thin plate with grooves corresponding to the area edge.
format	article
author	Yaqi Huang Ge Hu Changjin Ji Huahui Xiong
author_facet	Yaqi Huang Ge Hu Changjin Ji Huahui Xiong
author_sort	Yaqi Huang
title	Glass-cutting medical images via a mechanical image segmentation method based on crack propagation
title_short	Glass-cutting medical images via a mechanical image segmentation method based on crack propagation
title_full	Glass-cutting medical images via a mechanical image segmentation method based on crack propagation
title_fullStr	Glass-cutting medical images via a mechanical image segmentation method based on crack propagation
title_full_unstemmed	Glass-cutting medical images via a mechanical image segmentation method based on crack propagation
title_sort	glass-cutting medical images via a mechanical image segmentation method based on crack propagation
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/44f3d8eb95ef4169a591d48000147278
work_keys_str_mv	AT yaqihuang glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation AT gehu glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation AT changjinji glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation AT huahuixiong glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation
_version_	1718386228825423872

Glass-cutting medical images via a mechanical image segmentation method based on crack propagation

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