Automatic liver tumor segmentation from CT scans with knowledge-based constraints

Author(s):  
N H Abdel-massieh ◽  
M M Hadhoud ◽  
K M Amin
2016 ◽  
Vol 93 ◽  
pp. 446-452 ◽  
Author(s):  
Y. Rakesh Kumar ◽  
N. Moorthy Muthukrishnan ◽  
Abhishek Mahajan ◽  
P. Priyanka ◽  
G. Padmavathi ◽  
...  

2008 ◽  
Author(s):  
Jan hendrik Moltz ◽  
Lars Bornemann ◽  
Volker Dicken ◽  
Heinz-Otto Peitgen

This article presents an algorithm for the segmentation of liver metastases in CT scans. It is a hybrid method that combines adaptive thresholding based on a gray value analysis of the ROI with model-based morphological processing. We show the results of the MICCAI liver tumor segmentation competition 2008 which were successful for all ten tumors.


Author(s):  
Refael Vivanti ◽  
Ariel Ephrat ◽  
Leo Joskowicz ◽  
Naama Lev-Cohain ◽  
Onur A. Karaaslan ◽  
...  

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