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

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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Yiwen Liu, Tao Wen, Wei Sun, Zhenyu Liu, Xiaoying Song, Xuan He, Shuo Zhang, Zhenning Wu
Format: Artykuł
Język:English
Wydane: MDPI AG 2022-07-01
Seria:Sensors
Hasła przedmiotowe:
complex networks
computed tomography images
motion artifacts detection
network topological characteristics
classification
Dostęp online:https://www.mdpi.com/1424-8220/22/15/5666

Internet

https://www.mdpi.com/1424-8220/22/15/5666

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