Atrous residual interconnected encoder to attention decoder framework for vertebrae segmentation via 3D volumetric CT images

Atrous residual interconnected encoder to attention decoder framework for vertebrae segmentation via 3D volumetric CT images

Automatic vertebrae segmentation utilizing Computer Tomography (CT) plays a vital role in automated spine analyses, including the detection of vertebral body fractures and spine deformities assessment. A significant advancement in deep learning (DL) has enabled deep convolutional neural networks (DC...

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Bibliographic Details
Main Authors: Li, W. (Author), Tang, Y.M (Author), To, S. (Author), Wang, Z. (Author), Yu, K.M (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Automation
Computed tomography
Computed Tomography
Computer tomography images
Computerized tomography
Convolution
Convolutional neural network
Convolutional neural networks
Decoding
Deep learning
Deep neural networks
Encoders and decoders
Medical imaging
Musculoskeletal system
Network coding
Performance
Semantic segmentation
Semantic Segmentation
Semantics
Vertebrae segmentation
Vertebral body
Volumetrics
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