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...

詳細記述

書誌詳細
主要な著者: Yiwen Liu, Tao Wen, Wei Sun, Zhenyu Liu, Xiaoying Song, Xuan He, Shuo Zhang, Zhenning Wu
フォーマット: 論文
言語:English
出版事項: MDPI AG 2022-07-01
シリーズ:Sensors
主題:
オンライン・アクセス:https://www.mdpi.com/1424-8220/22/15/5666