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Review on the methods of automatic liver segmentation from abdominal images

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posted on 2025-05-08, 16:57 authored by Suhuai LuoSuhuai Luo, Xuechen Li, Jiaming Li
Automatic liver segmentation from abdominal images is challenging on the aspects of segmentation accuracy, automation and robustness. There exist many methods of liver segmentation and ways of categorisingthem. In this paper, we present a new way of summarizing the latest achievements in automatic liver segmentation.We categorise a segmentation method according to the image feature it works on, therefore better summarising the performance of each category and leading to finding an optimal solution for a particular segmentation task. All the methods of liver segmentation are categorized into three main classes including gray level based method, structure based method and texture based method. In each class, the latest advance is reviewed with summary comments on the advantages and drawbacks of each discussed approach. Performance comparisons among the classes are given along with the remarks on the problems existed and possible solutions. In conclusion, we point out that liver segmentation is still an open issue and the tendency is that multiple methods will be employed to-gether to achieve better segmentation performance.

History

Journal title

Journal of Computer and Communications

Volume

2

Issue

2

Pagination

1-7

Publisher

Scientific Research Publishing

Language

  • en, English

College/Research Centre

Faculty of Science and Information Technology

School

School of Design, Communication and Information Technology

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