Segmentation of liver tumor from CT images
This final year project aims to study characteristics of cancerous and healthy tissues in liver, which are later used by two algorithms, Support Vector Machine and Graph-cut, to do the liver tumor segmentation. Results from two algorithms are compared to evaluate on their efficiency. Besides, anisot...
Main Author: | La, Cam Chung |
---|---|
Other Authors: | Chan Kap Luk |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/52995 |
Similar Items
-
Liver tumor volume estimation
by: Lu, Rui
Published: (2008) -
Deep learning approach to cervical segmentation from routine CT images
by: Duan, Yiming
Published: (2023) -
Knee joint measurement using CT scans for knee joint implant selection
by: Jing, Mei
Published: (2009) -
Effects of hemodynamic shear stress on circulating tumor cells
by: How, Yunhan
Published: (2014) -
Hepatogenesis of murine induced pluripotent stem cells in 3D micro-cavitary hydrogel system for liver regeneration
by: Koh, Mei Shan
Published: (2014)