LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation

LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation

Medical image segmentation has always been a challenging task. This paper proposes a new LUneXt medical image segmentation model based on the characteristics analysis of medical image data sets and testing of different nonlinear activation units. Both normalized activations for the original negative...

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Bibliographic Details
Main Authors: Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao
Format: Article
Language:English
Published: World Scientific Publishing 2024-01-01
Series:Computing Open
Subjects:
Image segmentation
medical images
neural networks
activation function
Online Access:https://www.worldscientific.com/doi/10.1142/S2972370124500077
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