Table 3.

DSC results in comparison to recent works that use BraTS data for brain tumor segmentation [6, 13, 14]. Prior model results are taken directly from respective publication and displayed here for ease of comparison. ACN and SMU use the BraTS 2018 dataset, and RFNet uses the 2020 dataset. Our study dropout (bolded) uses the 2021 dataset. The value in parentheses represents the percent of the DSC result with respect to that using all MRI sequences. With the displayed works using different datasets, direct comparisons for superiority should not be made, but given the similarity of datasets, a baseline performance regarding studies that address missing modalities may be appreciated

MRI sequences				Enhancing tumor (ET)				Tumor core (TC)				Whole tumor (WT)
Flair	T1	T1Gd	T2	ACN	SMU	RFNet	Dropout	ACN	SMU	RFNet	Dropout	ACN	SMU	RFNet	Dropout
○	○	○	●	0.430 (55.8%)	0.431 (54.4%)	0.463 (59.4%)	0.363 (44.5%)	0.679 (79.8%)	0.672 (77.0%)	0.710 (83.3%)	0.596 (68.4%)	0.856 (95.9%)	0.857 (96.4%)	0.861 (94.4%)	0.812 (89.5%)
○	○	●	○	0.781 (101.3%)	0.783 (98.7%)	0.749 (96.0%)	0.748 (91.8%)	0.842 (98.8%)	0.841 (96.3%)	0.815 (95.7%)	0.771 (88.5%)	0.805 (90.2%)	0.803 (90.3%)	0.768 (84.3%)	0.762 (84.0%)
○	●	○	○	0.415 (53.9%)	0.428 (54.0%)	0.373 (47.8%)	0.411 (50.4%)	0.712 (83.6%)	0.695 (79.6%)	0.660 (77.5%)	0.592 (68.0%)	0.793 (88.9%)	0.786 (88.4%)	0.772 (84.7%)	0.682 (75.2%)
●	○	○	○	0.428 (55.5%)	0.461 (58.1%)	0.382 (49.0%)	0.349 (42.8%)	0.677 (79.5%)	0.718 (82.2%)	0.692 (81.2%)	0.583 (66.9%)	0.873 (97.8%)	0.875 (98.4%)	0.873 (95.8%)	0.864 (95.3%)
○	○	●	●	0.757 (98.2%)	0.757 (95.5%)	0.759 97.3%)	0.803 (98.5%)	0.844 (99.1%)	0.850 (97.4%)	0.835 (97.9%)	0.844 (96.9%)	0.864 (96.9%)	0.861 (96.9%)	0.877 (96.3%)	0.879 (96.9%)
○	●	●	○	0.752 (97.6%)	0.751 (94.7%)	0.780 (100.0%)	0.761 (93.4%)	0.846 (99.3%)	0.844 (96.7%)	0.834 (97.9%)	0.717 (82.3%)	0.801 (89.7%)	0.803 (90.3%)	0.811 (89.0%)	0.744 (82.0%)
●	●	○	○	0.437 (56.7%)	0.440 (55.5%)	0.410 (52.6%)	0.489 (60.0%)	0.713 (83.7%)	0.712 (81.6%)	0.731 (85.8%)	0.685 (78.6%)	0.875 (98.1%)	0.873 (98.2%)	0.897 (98.5%)	0.866 (95.5%)
○	●	○	●	0.474 (61.5%)	0.477 (56.4%)	0.457 (58.6%)	0.464 (56.9%)	0.733 (86.0%)	0.735 (84.2%)	0.731 (85.8%)	0.656 (75.3%)	0.855 (95.8%)	0.856 (96.3%)	0.877 (96.3%)	0.868 (95.7%)
●	○	○	●	0.460 (59.6%)	0.460 (58.0%)	0.493 63.2%)	0.394 (48.3%)	0.716 (84.1%)	0.712 (81.6%)	0.741 (87.0%)	0.626 (71.9%)	0.878 (98.4%)	0.879 (98.9%)	0.899 (98.6%)	0.898 (99.0%)
●	○	●	○	0.775 (100.5%)	0.773 (97.5%)	0.767 (98.3%)	0.807 (99.0%)	0.834 (97.9%)	0.841 (96.3%)	0.847 (99.3%)	0.848 (97.4%)	0.883 (98.9%)	0.884 (99.4%)	0.899 (98.7%)	0.882 (97.2%)
●	●	●	○	0.762 (98.8%)	0.762 (96.1%)	0.768 (98.5%)	0.807 (99.0%)	0.843 (98.9%)	0.842 (96.4%)	0.851 (99.8%)	0.861 (98.9%)	0.890 (99.7%)	0.882 (99.2%)	0.907 (99.5%)	0.882 (97.2%)
●	●	○	●	0.421 (54.6%)	0.431 (54.4%)	0.499 (64.0%)	0.486 (59.6%)	0.679 (79.7%)	0.679 (77.8%)	0.752 (88.2%)	0.680 (78.1%)	0.884 (99.0%)	0.883 (99.3%)	0.906 (99.4%)	0.901 (99.3%)
●	○	●	●	0.760 (98.6%)	0.754 (95.1%)	0.771 (98.8%)	0.808 (99.1%)	0.829 (97.3%)	0.825 (94.5%)	0.850 (99.7%)	0.857 (98.4%)	0.883 (99.0%)	0.882 (99.2%)	0.907 (99.5%)	0.907 (100.0%)
○	●	●	●	0.761 (98.8%)	0.762 (96.1%)	0.770 (98.7%)	0.810 (99.4%)	0.847 (99.4%)	0.844 (96.7%)	0.835 (98.0%)	0.859 (98.6%)	0.869 (97.4%)	0.865 (97.3%)	0.883 (96.9%)	0.886 (97.7%)
●	●	●	●	0.771 (-)	0.793 (-)	0.780 (-)	0.815 (-)	0.852 (-)	0.873 (-)	0.852 (-)	0.871 (-)	0.892 (-)	0.889 (-)	0.911 (-)	0.907 (-)