Dual encoding DDS‐UNet liver tumour segmentation based on multi‐scale deep and shallow feature fusion

Dual encoding DDS‐UNet liver tumour segmentation based on multi‐scale deep and shallow feature fusion

Abstract The fusion and utilization of multi‐scale deep and shallow features are of great significance in liver tumour segmentation. This study proposes a dual encoding DDS‐UNet liver tumour segmentation method based on multi‐scale deep and shallow feature fusion, aiming to fully achieve the fusion...

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Bibliographic Details
Main Authors: JianFeng Li, YanMin Niu
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Image Processing
Subjects:
arithmetic codes
biomedical imaging
biomedical MRI
cancer
computer vision
convolutional neural nets
Online Access:https://doi.org/10.1049/ipr2.13018

Internet

https://doi.org/10.1049/ipr2.13018

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