Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset
Segmentation of liver from 3D computed tomography (CT) dataset is very important in hepatic disease diagnosis and treatment planning. Manual segmentation gives accurate result but the process is tedious and time-consuming due to a large number of slices produced by the CT scanner. Low contrast of...
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Format: | Monograph |
Language: | English |
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Universiti Sains Malaysia
2017
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Online Access: | http://eprints.usm.my/53024/1/Development%20Of%20Semi-Automatic%20Liver%20Segmentation%20Method%20For%20Three-Dimensional%20Computed%20Tomography%20Dataset_Chiang%20Yi%20Fan_E3_2017.pdf http://eprints.usm.my/53024/ |
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Institution: | Universiti Sains Malaysia |
Language: | English |
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