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Document type:
Konferenzbeitrag 
Author(s):
Soberanis-Mukul, R.D.; Navab, N.; Albarqouni, S. 
Title:
Uncertainty-based graph convolutional networks for organ segmentation refinement 
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,MIDL,2020 
Book / Congress title:
Medical Imaging with Deep Learning (MIDL) 
Year:
2020