An optimized two-stage cascaded deep neural network for adrenal segmentation on CT images

Segmentation of adrenal glands from CT images is a crucial step in the AI-assisted diagnosis of adrenal gland-related disease. However, highly intrasubject variability in shape and adhesive boundaries with surrounding tissues make accurate segmentation of the adrenal gland a challenging task. In the...

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Veröffentlicht in:	Computers in biology and medicine 2021-09, Vol.136, p.104749-104749, Article 104749
Hauptverfasser:	Luo, Guoting, Yang, Qing, Chen, Tao, Zheng, Tao, Xie, Wei, Sun, Huaiqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Accuracy Adrenal gland Adrenal glands Artificial neural networks Computed tomography Computer applications Convolutional neural network Deep learning Image processing Image segmentation Localization Machine learning Medical imaging Neural networks
Online-Zugang:	Volltext
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