Liver tumor detection and segmentation using kernel-based extreme learning machine
In this project, a semi-automatic approach of the detection and segmentation of liver tumors from 3D computed tomography (CT) images is presented. The automatic detection of liver tumor can be formulized as a novelty detection or two-class classification issue. The method can also be used for tumor...
Hovedforfatter: | Li, Ning. |
---|---|
Andre forfattere: | Lin Zhiping |
Format: | Final Year Project (FYP) |
Sprog: | English |
Udgivet: |
2013
|
Fag: | |
Online adgang: | http://hdl.handle.net/10356/54527 |
Lignende værker
-
Segmentation of liver tumor from CT images
af: La, Cam Chung
Udgivet: (2013) -
Data and feature mixed ensemble based extreme learning machine for medical object detection and segmentation
af: Zhu, Wan Zheng
Udgivet: (2015) -
Extreme learning machines for intrusion detection
af: Cheng, Chi, et al.
Udgivet: (2013) -
Extreme learning machine based tracking-learning-detection framework in surveillance video
af: Lai, Tinglin
Udgivet: (2016) -
Voting based extreme learning machine
af: Cao, Jiuwen, et al.
Udgivet: (2013)