Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review

Table 1 Selected fully automatic liver segmentation algorithms[28]

Ref.	Key techniques	Dataset	Accuracy
Kumar et al[29], 2013	Region growing	Proprietary	98% ± 1%
Chen et al[30], 2012	AAM, graph cut	SLIVER07	93.5% ± 1.8%
Huang et al[31], 2016	Template matching (SBLDA)	3D-IRCADb	92.16% ± 2.95%
Wu et al[32], 2016	Linear clustering, graph cut	SLIVER07	75.2%-71.4%
Mohamed et al[33], 2017	Bayesian model	Proprietary	95.5%
Zheng et al[34], 2022	DL (CNN, C-LSTM)	SLIVER07	82.5% ± 7.7%

Citation: Le DC, Chansangrat J, Keeratibharat N, Horkaew P. Symmetric Reconstruction of Functional Liver Segments and Cross-Individual Correspondence of Hepatectomy. Diagnostics 2021; 11: 852. Copyright ©The Author(s) 2021. Published by MDPI. The authors have obtained the permission for data using (Supplementary material).