Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation

Rapid and accurate extraction of liver tissue from abdominal computed tomography (CT) and magnetic resonance (MR) images has critical importance for diagnosis and treatment of hepatic diseases. Due to adjacent organs with similar intensities and anatomical variations between different subjects, the...

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Vydané v:	Applied artificial intelligence Ročník 36; číslo 1
Hlavní autori:	Zhang, Feiyan, Yan, Shuhao, Zhao, Yizhong, Gao, Yuan, Li, Zhi, Lu, Xuesong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 31.12.2022 Taylor & Francis Ltd Taylor & Francis Group
Predmet:	Coders Computed tomography Context Deep learning Encoders-Decoders Feature maps Image segmentation Iterative methods Liver Magnetic resonance imaging Medical imaging Workflow
ISSN:	0883-9514, 1087-6545
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