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

Table 2 Selected semiautomatic liver segmentation algorithms[28]

Ref.	Key techniques	Dataset	Accuracy
Chen et al[44], 2009	Quasi-Monte Carlo	Proprietary	NA
Yang et al[41], 2014	Level set	SLIVER07	78.9%
Liao et al[45], 2016	Graph cut	SLIVER07	94.2% ± 3.3%
Lu et al[46], 2017	3D CNN, graph cut	3D-IRCADb	90.64% ± 3.34%
Chartrand et al[43], 2017	Deformable model	SLIVER07	92.38% ± 1.35%
Le et al[23], 2021	Mixture model, graph cut	SLIVER07	92.2% ± 1.5%

NA: Not available. 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).