Academic Journal of Computing & Information Science, 2022, 5(8); doi: 10.25236/AJCIS.2022.050803.
Collage of Computer Science and Technology, Changchun Normal University, Changchun, Jilin, 130032, China
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.
Computer-aided diagnosis, treatment technology
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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