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Document type:
Zeitschriftenaufsatz 
Author(s):
Soberanis-Mukul, R.D.; Navab, N.; Albarqouni, S. 
Title:
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation 
Abstract:
Organ segmentation in CT volumes is an important pre-processing step in many computer assisted intervention and diagnosis methods. In recent years, convolutional neural networks have dominated the state of the art in this task. However, since this problem presents a challenging environment due to high variability in the organ's shape and similarity between tissues, the generation of false negative and false positive regions in the output segmentation is a common issue. Recent works have shown th...    »
 
Keywords:
CAMP,MELBA,2020 
Journal title:
Machine Learning for Biomedical Imaging (MELBA) 
Year:
2020 
Notes:
MIDL 2020 Special Issue