Liver tumor segmentation method based on U-Net architecture: a review

Wang, Biao and Yang, Chunfeng (2024) Liver tumor segmentation method based on U-Net architecture: a review. EAI Endorsed Transactions on e-Learning.

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Abstract

Liver cancer is a disease with a high incidence and high probability of deterioration, and for the rapid diagnosis of liver disease, CT scans must be used to segment the liver tumors. For the past few years, with the rapid development of deep learning, many deep learning methods for liver tumor segm

Item Type: Article
Date Deposited: 04 Mar 2026 18:30
Last Modified: 10 Apr 2026 23:05
URI: http://eprints.eai.eu/id/eprint/52727

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