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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Bibliographic Details

Published in:	Applied artificial intelligence Vol. 36; no. 1
Main Authors:	Zhang, Feiyan, Yan, Shuhao, Zhao, Yizhong, Gao, Yuan, Li, Zhi, Lu, Xuesong
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 31.12.2022 Taylor & Francis Ltd Taylor & Francis Group
Subjects:	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
Online Access:	Get full text
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