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Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography


Citation

Moghbel, Mehrdad and Mashohor, Syamsiah and Mahmud, Rozi and Saripan, M. Iqbal (2017) Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography. Artificial Intelligence Review. pp. 1-41. ISSN 0269-2821; ESSN: 1573-7462

Abstract

Computed tomography (CT) imaging remains the most utilized modality for liver-related cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature segmentation from CT data is a prerequisite for treatment planning and computer assisted detection/diagnosis systems. In this paper, we present a survey on liver, liver tumor and liver vasculature segmentation methods that are using CT images, recent methods presented in the literature are viewed and discussed along with positives, negatives and statistical performance of these methods. Liver computer assisted detection/diagnosis systems will also be discussed along with their limitations and possible ways of improvement. In this paper, we concluded that although there is still room for improvement, automatic liver segmentation methods have become comparable to human segmentation. However, the performance of liver tumor segmentation methods can be considered lower than expected in both automatic and semi-automatic methods. Furthermore, it can be seen that most computer assisted detection/diagnosis systems require manual segmentation of liver and liver tumors, limiting clinical applicability of these systems. Liver, liver tumor and liver vasculature segmentation is still an open problem since various weaknesses and drawbacks of these methods can still be addressed and improved especially in tumor and vasculature segmentation along with computer assisted detection/diagnosis systems.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1007/s10462-017-9550-x
Publisher: Springer
Keywords: Image segmentation; Computer assisted detection/diagnosis; Liver tumor segmentation; Liver segmentation; Liver vasculature segmentation; Computed tomograph
Depositing User: Mas Norain Hashim
Date Deposited: 28 Sep 2018 10:26
Last Modified: 28 Sep 2018 10:26
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10462-017-9550-x
URI: http://psasir.upm.edu.my/id/eprint/62985
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