An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm

Table 6

Evaluation data of 26 patients with brain tumor segmentation using the DCNN-F-SVM model.

Number	DSC	Sensitivity	Specificity	Number	DSC	Sensitivity	Specificity
1	0.8923	0.9220	0.9663	14	0.8956	0.9222	0.9785
2	0.8867	0.9063	0.9368	15	0.8896	0.9185	0.9669
3	0.9091	0.9193	0.9702	16	0.8876	0.9104	0.9678
4	0.8782	0.9014	0.9588	17	0.8782	0.9086	0.9585
5	0.9026	0.9289	0.9795	18	0.9020	0.9103	0.9786
6	0.8998	0.9098	0.9405	19	0.9023	0.9123	0.9752
7	0.9056	0.9196	0.9743	20	0.8885	0.9116	0.9600
8	0.9030	0.9229	0.9696	21	0.8963	0.9205	0.9696
9	0.8927	0.9110	0.9711	22	0.9004	0.9287	0.9745
10	0.9126	0.9289	0.9806	23	0.9102	0.9258	0.9798
11	0.9185	0.9298	0.9885	24	0.8763	0.9115	0.9598
12	0.8789	0.9110	0.9605	25	0.8689	0.9088	0.9469
13	0.8825	0.9168	0.9693	26	0.8996	0.9305	0.9797