In recent years, with the development of artificial intelligence, computer and other technologies and the increase of people's demand for computer-aided diagnosis technology, computer-aided diagnosis technology has been developed greatly, among which Unet network-based liver tumor segmentation technology is a typical representative of computer-aided diagnosis technology. However, the research of Unet network-based liver tumor segmentation technology is not very mature, and there are still some aspects that do not meet the market demand. Therefore, in this paper, we propose a proposal of Unet network-based liver tumor segmentation technology based on the existing computer-aided diagnosis technology and related research in the market, combined with the market demand. Under the market demand of computer-aided diagnosis and treatment, an accurate and practical liver tumor segmentation system is designed to improve the shortcomings of the commercially available liver tumor segmentation systems.

Chenxin Xing. Unet network-based liver tumor segmentation system. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 8: 18-22. https://doi.org/10.25236/AJCIS.2022.050803.

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