Segmentation of magnetic resonance images of brain and abdomen
121 p.
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2011
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sg-ntu-dr.10356-474662023-03-04T00:41:11Z Segmentation of magnetic resonance images of brain and abdomen Annamalai Sarayu Parimal Vitali Zagorodnov School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences 121 p. Segmentation of MRI data is required for many applications, such as the comparison of different structures or time points, and for annotation purposes. Manual segmentation requires high-level expertise and is subject to inter- and intra- observer variability, time and labor consuming. All these urge the need for automatic segmentation algorithms. In this work we try to address two segmentation problems in MR imaging and design automatic algorithms to solve them. MASTER OF ENGINEERING (SCE) 2011-12-27T08:24:12Z 2011-12-27T08:24:12Z 2010 2010 Thesis Annamalai Sarayu Parimal. (2010). Segmentation of magnetic resonance images of brain and abdomen. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/47466 10.32657/10356/47466 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Annamalai Sarayu Parimal Segmentation of magnetic resonance images of brain and abdomen |
description |
121 p. |
author2 |
Vitali Zagorodnov |
author_facet |
Vitali Zagorodnov Annamalai Sarayu Parimal |
format |
Theses and Dissertations |
author |
Annamalai Sarayu Parimal |
author_sort |
Annamalai Sarayu Parimal |
title |
Segmentation of magnetic resonance images of brain and abdomen |
title_short |
Segmentation of magnetic resonance images of brain and abdomen |
title_full |
Segmentation of magnetic resonance images of brain and abdomen |
title_fullStr |
Segmentation of magnetic resonance images of brain and abdomen |
title_full_unstemmed |
Segmentation of magnetic resonance images of brain and abdomen |
title_sort |
segmentation of magnetic resonance images of brain and abdomen |
publishDate |
2011 |
url |
https://hdl.handle.net/10356/47466 |
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1759857434650738688 |