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. 2021 Oct 7;21(19):6654. doi: 10.3390/s21196654

Table 10.

MRI brain tumor classification performance metrics for proposed CNN + eHHO approach.

TP FP TN FN TPR TNR PPV NPV FPR FNR FDR ACC F1
DATASET 1
Normal 487 38 1462 13 0.974 0.974 0.928 0.991 0.025 0.026 0.072 0.974 0.950
Grade II 473 16 1484 27 0.946 0.989 0.967 0.982 0.011 0.054 0.033 0.979 0.957
Grade III 473 18 1482 27 0.946 0.988 0.963 0.982 0.012 0.054 0.037 0.978 0.955
Grade IV 479 16 1484 21 0.958 0.989 0.967 0.986 0.011 0.042 0.032 0.982 0.963
DATASET 2
Glioma 111 4 226 4 0.965 0.983 0.965 0.983 0.017 0.035 0.035 0.977 0.965
Meningioma 113 3 227 2 0.983 0.987 0.974 0.991 0.013 0.017 0.026 0.986 0.978
Pituitary 113 1 229 2 0.983 0.996 0.991 0.991 0.004 0.017 0.009 0.991 0.987