Table 8. Performance evaluations of various approaches with proposed models.

Study	Dice	Accuracy	Dataset
Ronneberger, Fischer & Brox (2015)	0.9029	0.9036	JSRT
			Montgomery
Milletari, Navab & Ahmadi (2019)	0.9667	0.9804	Montgomery
			Shenzhen
Rajaraman et al. (2018)	–	0.9170	Own
Arvind et al. (2023)	0.9187	0.9387	JSRT
			Montgomery
			Shenzhen
Liu et al. (2022)	0.977	0.9890	JSRT
			Montgomery
Showkatian et al. (2022)	–	0.8725	Maryland
			Montgomery
			Shenzhen
Oktay et al. (2018)	0.9723	0.9816	Own
Huang et al. (2020)	0.9290	0.9187	ISBI LiTS 2017
Alam et al. (2024)	0.9413	0.8916	Shenzhen
Boudoukhani et al. (2024)	0.9742	0.9868	Montgomery
	0.9607	0.9798	Shenzhen
Slimani & Bentourkia (2024)	0.9570	0.9790	Montgomery
Ammar, Gasmi & Ltaifa (2024)	–	0.94	Montgomery
	–	0.96	Shenzhen
Proposed U-Net	0.9643	0.9824	Montgomery Shenzhen
Proposed V-Net	0.9642	0.9824	Montgomery Shenzhen
Proposed Seg-Net	0.9551	0.9834	Montgomery Shenzhen