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Sensors and Materials, Volume 35, Number 12(1) (2023)
Copyright(C) MYU K.K.
pp. 4061-4083
S&M3468 Research Paper of Special Issue
https://doi.org/10.18494/SAM4588
Published: December 15, 2023

Automatic Construction of U-Net NetworkBased on Genetic Algorithm for Medical Image Segmentation [PDF]

Daoqing Gong, Ningwei Mo, Xinyan Gan, Yuzhong Peng, Xiang Gao, and Jiayuan Pan

(Received July 14, 2023; Accepted November 30, 2023)

Keywords: genetic algorithm, adaptive U-Net framework, image identification

In recent years, U-Net has been widely utilized for the segmentation of medical biological images, demonstrating favorable outcomes. However, determining the optimal U-Net network structure for different datasets remains a challenge, often requiring an extensive architecture search or inefficient integration of various deep models for testing purposes. In this paper, we propose an automatic U-Net network design algorithm, U-Net-GA, based on the genetic algorithm. The algorithm effectively addresses the image discrimination task through the introduction of a new variable-length coding strategy, acceleration components, and genetic operators. The key advantage of the proposed algorithm lies in its “automatic” nature, enabling users to obtain the optimal U-Net network structure for a given image without requiring U-Net domain knowledge. The algorithm’s effectiveness is demonstrated by its application to two different types of medical image dataset, namely, colorectal cancer and COVID-19 CT images, and a subsequent comparison with other advanced network structures. Experimental results demonstrate that the proposed algorithm exhibits superior performance compared with existing U-Net networks in terms of segmentation accuracy, Dice coefficient, Jaccard index, and loss index.

Corresponding author: Xinyan Gan


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Daoqing Gong, Ningwei Mo, Xinyan Gan, Yuzhong Peng, Xiang Gao, and Jiayuan Pan, Automatic Construction of U-Net NetworkBased on Genetic Algorithm for Medical Image Segmentation, Sens. Mater., Vol. 35, No. 12, 2023, p. 4061-4083.



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