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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Bibliographic Details
Main Authors:	Yaqi Huang, Ge Hu, Changjin Ji, Huahui Xiong
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-11-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-19392-7

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record_format	Article
spelling	doaj-44f3d8eb95ef4169a591d480001472782021-05-11T08:12:53ZengNature Publishing GroupNature Communications2041-17232020-11-0111111510.1038/s41467-020-19392-7Glass-cutting medical images via a mechanical image segmentation method based on crack propagationYaqi Huang0Ge Hu1Changjin Ji2Huahui Xiong3School of Biomedical Engineering, Capital Medical UniversitySchool of Biomedical Engineering, Capital Medical UniversitySchool of Biomedical Engineering, Capital Medical UniversitySchool of Biomedical Engineering, Capital Medical UniversityAutomatic 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.https://doi.org/10.1038/s41467-020-19392-7
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Yaqi Huang Ge Hu Changjin Ji Huahui Xiong
spellingShingle	Yaqi Huang Ge Hu Changjin Ji Huahui Xiong Glass-cutting medical images via a mechanical image segmentation method based on crack propagation Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-11-01
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.
url	https://doi.org/10.1038/s41467-020-19392-7
work_keys_str_mv	AT yaqihuang glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation AT gehu glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation AT changjinji glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation AT huahuixiong glasscuttingmedicalimagesviaamechanicalimagesegmentationmethodbasedoncrackpropagation
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Glass-cutting medical images via a mechanical image segmentation method based on crack propagation

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