Artificial intelligence in liver imaging: methods and applications

Zhang, Peng; Gao, Chaofei; Huang, Yifei; Chen, Xiangyi; Pan, Zhuoshi; Wang, Lan; Dong, Di; Li, Shao; Qi, Xiaolong

doi:10.1007/s12072-023-10630-w

Cited by 6 publications

(1 citation statement)

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“…The integration of radiology with artificial intelligence offers the promise of precise diagnosis and treatment. In liver imaging, the utilization of deep learning holds potential to enhance the detection, diagnosis, and treatment processes [2]. They are also heavily used for diagnosis, prediction, and prognostic assessment of liver cancer images (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Deep learning methods in liver diseases

Bian,

Wei

et al. 2024

Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024)

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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.

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Section: Introductionmentioning

confidence: 99%