Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray

The aim of this study is to investigate the segmentation accuracies of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays. Instance segmentation networks were compared to semantic segmentation networks. The study cohort comprised diseased spines and postope...

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Veröffentlicht in:	arXiv.org 2020-04
Hauptverfasser:	Konya, Sandor, Sai, Natarajan T, Allouch, Hassan, Kais Abu Nahleh, Omneya Yakout Dogheim, Boehm, Heinrich
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Image segmentation Model accuracy Semantic segmentation Semantics
Online-Zugang:	Volltext
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