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A Review of Advancements and Challenges in Liver Segmentation

D.B. Wei, Yundan Jiang, Chao Zhou, Di Wu, Xiao‐Rong Feng

2024Journal of Imaging15 citationsDOIOpen Access PDF

Abstract

Liver segmentation technologies play vital roles in clinical diagnosis, disease monitoring, and surgical planning due to the complex anatomical structure and physiological functions of the liver. This paper provides a comprehensive review of the developments, challenges, and future directions in liver segmentation technology. We systematically analyzed high-quality research published between 2014 and 2024, focusing on liver segmentation methods, public datasets, and evaluation metrics. This review highlights the transition from manual to semi-automatic and fully automatic segmentation methods, describes the capabilities and limitations of available technologies, and provides future outlooks.

Topics & Concepts

SegmentationComputer scienceData scienceEmerging technologiesArtificial intelligenceAdvanced Neural Network ApplicationsSpectroscopy Techniques in Biomedical and Chemical ResearchCOVID-19 diagnosis using AI
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