Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset

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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Bibliographic Details
Main Author: Chiang, Yi Fan
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2017
Subjects:
T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
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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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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