ResD-Unet Research and Application for Pulmonary Artery Segmentation

In the three-dimensional reconstruction of the pulmonary artery and the identification of pulmonary embolism, experts find it difficult to accurately estimate the severity of the embolism in the pulmonary artery, due to its irregular shape and complex adjacent tissues. In effect, segmenting the pulm...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.67504-67511
Hauptverfasser:	Yuan, Hongfang, Liu, Zhenhong, Shao, Yajun, Liu, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Arteries Computed tomography Computer architecture Convergence Convolution deep learning Embolisms Image segmentation Information flow Neural network Pulmonary arteries Pulmonary embolisms ResD-Unet Residual-dense block Training
Online-Zugang:	Volltext
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