Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network

Table 5

A summary of DSC quantitative comparison on BRATS 2015 combined dataset (HGG and LGG).

Method	Dataset	Grade	DSC
			Complete	Core	Enh
Pereira et al. [38]	BRATS 2015 Challenge	Combined	0.78	0.65	0.75
	BRATS 2015 Training	Combined	0.87	0.73	0.68
Havaei et al. [19]	BRATS 2015 Challenge	Combined	0.79	0.58	0.69
Kamnitsas et al. [21]	BRATS 2015 Challenge	Combined	0.85	0.67	0.63
	BRATS 2015 Training	Combined	0.90	0.76	0.73
Dong et al. [36]	BRATS 2015 Training	Combined	0.86	0.86	0.65
Yi et al. [37]	BRATS 2015 Training	Combined	0.89	0.76	0.80
FCN-8s	BRATS 2015 Training	Combined	0.84	0.71	0.63
Proposed	BRATS 2015 Training	Combined	0.89	0.77	0.80