Graph-Based Motion Artifacts Detection Method from Head Computed Tomography Images

Computed tomography (CT) images play an important role due to effectiveness and accessibility, however, motion artifacts may obscure or simulate pathology and dramatically degrade the diagnosis accuracy. In recent years, convolutional neural networks (CNNs) have achieved state-of-the-art performance...

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Détails bibliographiques
Auteurs principaux: Yiwen Liu, Tao Wen, Wei Sun, Zhenyu Liu, Xiaoying Song, Xuan He, Shuo Zhang, Zhenning Wu
Format: Article
Langue:English
Publié: MDPI AG 2022-07-01
Collection:Sensors
Sujets:
Accès en ligne:https://www.mdpi.com/1424-8220/22/15/5666