Table 20.
The NCC results of 3D medical image segmentation using Otsu's method for all algorithms.
Image | K | Algorithms |
|||||||
---|---|---|---|---|---|---|---|---|---|
SOA [41] | HHOA [35] | FPA [18] | CS [19] | HS [15] | SCA [22] | BA [23] | COVID-HHOA | ||
Medical1 | 6 | 0.9943 | 0.9947 | 0.9946 | 0.9947 | 0.9898 | 0.9964 | 0.9968 | 0.9950 |
8 | 0.9964 | 0.9968 | 0.9967 | 0.9968 | 0.9944 | 0.9955 | 0.9962 | 0.9970 | |
10 | 0.9975 | 0.9978 | 0.9977 | 0.9977 | 0.9958 | 0.9967 | 0.9969 | 0.9982 | |
12 | 0.9980 | 0.9981 | 0.9980 | 0.9982 | 0.9972 | 0.9972 | 0.9978 | 0.9986 | |
14 | 0.9983 | 0.9986 | 0.9983 | 0.9981 | 0.9975 | 0.9977 | 0.9978 | 0.9990 | |
Medical2 | 6 | 0.9955 | 0.9954 | 0.9955 | 0.9959 | 0.9933 | 0.9939 | 0.9952 | 0.9958 |
8 | 0.9971 | 0.9973 | 0.9970 | 0.9972 | 0.9953 | 0.9962 | 0.9969 | 0.9975 | |
10 | 0.9978 | 0.9980 | 0.9979 | 0.9980 | 0.9966 | 0.9966 | 0.9972 | 0.9983 | |
12 | 0.9981 | 0.9985 | 0.9982 | 0.9984 | 0.9973 | 0.9972 | 0.9980 | 0.9987 | |
14 | 0.9983 | 0.9986 | 0.9985 | 0.9986 | 0.9980 | 0.9979 | 0.9981 | 0.9989 | |
Medical3 | 6 | 0.9959 | 0.9965 | 0.9964 | 0.9965 | 0.9943 | 0.9955 | 0.9947 | 0.9968 |
8 | 0.9975 | 0.9980 | 0.9979 | 0.9980 | 0.9967 | 0.9972 | 0.9972 | 0.9984 | |
10 | 0.9984 | 0.9986 | 0.9981 | 0.9986 | 0.9975 | 0.9978 | 0.9978 | 0.9990 | |
12 | 0.9986 | 0.9990 | 0.9989 | 0.9990 | 0.9981 | 0.9981 | 0.9980 | 0.9992 | |
14 | 0.9987 | 0.9992 | 0.9989 | 0.9991 | 0.9986 | 0.9987 | 0.9985 | 0.9994 | |
Medical4 | 6 | 0.9971 | 0.9975 | 0.9974 | 0.9978 | 0.9970 | 0.9970 | 0.9975 | 0.9977 |
8 | 0.9983 | 0.9987 | 0.9984 | 0.9985 | 0.9974 | 0.9978 | 0.9984 | 0.9986 | |
10 | 0.9988 | 0.9991 | 0.9990 | 0.9990 | 0.9980 | 0.9985 | 0.9991 | 0.9994 | |
12 | 0.9990 | 0.9993 | 0.9992 | 0.9993 | 0.9986 | 0.9989 | 0.9993 | 0.9996 | |
14 | 0.9992 | 0.9994 | 0.9993 | 0.9994 | 0.9988 | 0.9990 | 0.9994 | 0.9998 | |
Medical5 | 6 | 0.9934 | 0.9941 | 0.9940 | 0.9940 | 0.9912 | 0.9931 | 0.9937 | 0.9944 |
8 | 0.9954 | 0.9961 | 0.9950 | 0.9960 | 0.9941 | 0.9944 | 0.9948 | 0.9964 | |
10 | 0.9969 | 0.9972 | 0.9968 | 0.9973 | 0.9961 | 0.9959 | 0.9964 | 0.9978 | |
12 | 0.9970 | 0.9974 | 0.9971 | 0.9975 | 0.9970 | 0.9967 | 0.9968 | 0.9980 | |
14 | 0.9978 | 0.9982 | 0.9976 | 0.9981 | 0.9975 | 0.9968 | 0.9971 | 0.9984 | |
Medical6 | 6 | 0.9926 | 0.9930 | 0.9930 | 0.9932 | 0.9899 | 0.9920 | 0.9924 | 0.9934 |
8 | 0.9955 | 0.9959 | 0.9954 | 0.9955 | 0.9938 | 0.9945 | 0.9950 | 0.9959 | |
10 | 0.9963 | 0.9966 | 0.9961 | 0.9965 | 0.9943 | 0.9956 | 0.9960 | 0.9969 | |
12 | 0.9968 | 0.9970 | 0.9968 | 0.9970 | 0.9955 | 0.9961 | 0.9967 | 0.9974 | |
14 | 0.9970 | 0.9973 | 0.9972 | 0.9972 | 0.9961 | 0.9966 | 0.9972 | 0.9978 | |
Average | 0.9970 | 0.9973 | 0.9971 | 0.9973 | 0.9958 | 0.9964 | 0.9968 | 0.9977 |