Deformable Meshes for Medical Image Segmentation

Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformati...

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Tác giả chính:	Kainmueller, Dagmar
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Image segmentation Digital techniques Image segmentation. Diagnostic imaging Computer vision
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58115
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id	oai:scholar.dlu.edu.vn:DLU123456789-58115
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-581152023-11-11T06:00:41Z Deformable Meshes for Medical Image Segmentation Kainmueller, Dagmar Image segmentation Digital techniques Image segmentation. Diagnostic imaging Computer vision Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data. 2015-09-09T03:51:32Z 2015-09-09T03:51:32Z 2015 Book 978-3-658-07015-1 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58115 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Image segmentation Digital techniques Image segmentation. Diagnostic imaging Computer vision
spellingShingle	Image segmentation Digital techniques Image segmentation. Diagnostic imaging Computer vision Kainmueller, Dagmar Deformable Meshes for Medical Image Segmentation
description	Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data.
format	Book
author	Kainmueller, Dagmar
author_facet	Kainmueller, Dagmar
author_sort	Kainmueller, Dagmar
title	Deformable Meshes for Medical Image Segmentation
title_short	Deformable Meshes for Medical Image Segmentation
title_full	Deformable Meshes for Medical Image Segmentation
title_fullStr	Deformable Meshes for Medical Image Segmentation
title_full_unstemmed	Deformable Meshes for Medical Image Segmentation
title_sort	deformable meshes for medical image segmentation
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58115
_version_	1819763537283645440

Deformable Meshes for Medical Image Segmentation

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