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
Online Access:	View Fulltext in Publisher

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