SCANeXt: Enhancing 3D medical image segmentation with dual attention network and depth-wise convolution

SCANeXt: Enhancing 3D medical image segmentation with dual attention network and depth-wise convolution

Existing approaches to 3D medical image segmentation can be generally categorized into convolution-based or transformer-based methods. While convolutional neural networks (CNNs) demonstrate proficiency in extracting local features, they encounter challenges in capturing global representations. In co...

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Bibliographic Details
Main Authors: Yajun Liu, Zenghui Zhang, Jiang Yue, Weiwei Guo
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
3D medical image segmentation
Dual attention
Depth-wise convolution
Swin transformer
InceptionNeXt
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024028068

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http://www.sciencedirect.com/science/article/pii/S2405844024028068

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