Deep learning (DL) is a recently developed artificial intelligent method that can be integrated into numerous fields. For the imaging diagnosis of liver disease, several remarkable outcomes have been achieved with the application of DL currently. This advanced algorithm takes part in various sections of imaging processing such as liver segmentation, lesion delineation, disease classification, process optimization, etc. The DL optimized imaging diagnosis shows a broad prospect instead of the pathological biopsy for the advantages of convenience, safety, and inexpensiveness. In this paper, we reviewed the published representative DL-related hepatic imaging works, described the general situation of this new-rising technology in medical liver imaging and explored the future direction of DL development.

深度学习（DL）是最近开发的一种人工智能方法，可以集成到众多领域中。对于肝脏疾病的影像诊断，目前DL的应用已经取得了一些显着的成果。这种先进的算法参与了肝脏分割、病灶勾画、疾病分类、流程优化等成像处理的各个环节。 DL优化的影像诊断以其便捷、安全、安全等优势取代病理活检显示出广阔的前景。廉价。在本文中，我们回顾了已发表的具有代表性的DL相关肝脏成像工作，描述了这项新兴技术在医学肝脏成像中的概况，并探讨了DL发展的未来方向。