Table 7. The segmentation effect of different segmentation techniques on the ACDC test set.

	Dice index
	RV		MYO		LV
	ED	ES	ED	ES	ED	ES
NCDN	0.932	0.882	0.899	0.911	0.966	0.916
Isensee et al. (2018)	0.946	0.904	0.896	0.919	0.965	0.933
Zotti et al. (2018)	0.934	0.885	0.886	0.902	0.964	0.912
Painchaud et al. (2020)	0.933	0.884	0.881	0.897	0.961	0.911
Khened, Alex & Krishnamurthi (2018)	0.941	0.882	0.889	0.898	0.964	0.917
Baumgartner et al. (2017)	0.935	0.879	0.882	0.897	0.963	0.911
Wolterink et al. (2017)	0.932	0.883	0.892	0.901	0.961	0.918
Rohé, Sermesant & Pennec (2017)	0.928	0.872	0.884	0.896	0.957	0.900
Zotti et al. (2017)	0.916	0.845	0.875	0.894	0.957	0.905
Patravali, Jain & Chilamkurthy (2017)	0.911	0.819	0.867	0.869	0.955	0.885
Grinias & Tziritas (2018)	0.887	0.767	0.799	0.784	0.948	0.848

Notes.

Optimal values are indicated in bold.