Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery
Computed Tomography is widely used for non-invasive diagnosis of the human brain. Together with stereotactic frames, CT images allow for high precision in brain lesion resection operations. In view of the numerous images produced by the CT machine and with increasing cases that require follow-up ope...
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sg-ntu-dr.10356-197762023-07-04T15:42:16Z Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery Yau, Wei Yun. Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Computed Tomography is widely used for non-invasive diagnosis of the human brain. Together with stereotactic frames, CT images allow for high precision in brain lesion resection operations. In view of the numerous images produced by the CT machine and with increasing cases that require follow-up operations, computer assisted neurosurgery becomes a useful aid for neurosurgeons. Master of Engineering 2009-12-14T06:37:20Z 2009-12-14T06:37:20Z 1994 1994 Thesis http://hdl.handle.net/10356/19776 en NANYANG TECHNOLOGICAL UNIVERSITY 96 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Yau, Wei Yun. Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
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Computed Tomography is widely used for non-invasive diagnosis of the human brain. Together with stereotactic frames, CT images allow for high precision in brain lesion resection operations. In view of the numerous images produced by the CT machine and with increasing cases that require follow-up operations, computer assisted neurosurgery becomes a useful aid for neurosurgeons. |
author2 |
Chan, Kap Luk |
author_facet |
Chan, Kap Luk Yau, Wei Yun. |
format |
Theses and Dissertations |
author |
Yau, Wei Yun. |
author_sort |
Yau, Wei Yun. |
title |
Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
title_short |
Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
title_full |
Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
title_fullStr |
Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
title_full_unstemmed |
Automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
title_sort |
automatic segmentation of lesion from medical computed tomography images for stereotactic neurosurgery |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/19776 |
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1772828240429187072 |