Deep learning methods in liver diseases

Xiangwei Bian; Qingxiang Bian; Xiaoning Wei; Xiaokai Li

doi:10.1117/12.3036672

13 July 2024 Deep learning methods in liver diseases

Xiangwei Bian, Qingxiang Bian, Xiaoning Wei, Xiaokai Li

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132083A (2024) https://doi.org/10.1117/12.3036672
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

With the booming development of artificial intelligence, deep learning, and machine learning, an important branch in the field of artificial intelligence, especially the intelligent algorithms represented by deep learning, has been gradually applied in the field of medicine. Liver cancer has been the focus of research in the field of medicine, and the development of deep learning technology is crucial for making precise diagnoses, lesion classification, risk factor prediction, and prognosis assessment of liver tumors. In this paper, we review the status of research related to deep learning in the field of liver cancer diagnosis.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangwei Bian, Qingxiang Bian, Xiaoning Wei, and Xiaokai Li "Deep learning methods in liver diseases", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132083A (13 July 2024); https://doi.org/10.1117/12.3036672

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