Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area

Table 3

The calculated segmentation evaluation metrics for the proposed approach by considering different values of blood perfusion rate.

Patient No.		TP	FP	TN	FN	Sensitivity	Specificity	Accuracy	Dice index	Jaccard
Patient 1	0.001	549	3	14797	44	0.9258	0.9997	0.9969	0.9589	0.9211
	0.0016	556	5	14795	37	0.9376	0.9996	0.9972	0.9636	0.9297
	0.002	559	5	14795	34	0.9426	0.9996	0.9974	0.9662	0.9347
Patient 2	0.001	1099	29	18499	61	0.9474	0.9984	0.9954	0.9606	0.9243
	0.0016	1112	37	18491	48	0.9586	0.998	0.9956	0.9631	0.9289
	0.002	1118	47	18481	42	0.9637	0.9974	0.9954	0.9617	0.9262
Patient 3	0.001	1538	1	18220	83	0.9487	0.9999	0.9957	0.9734	0.9482
	0.0016	1547	7	18214	74	0.9543	0.9996	0.9959	0.9744	0.9502
	0.002	1558	14	18207	63	0.9611	0.9992	0.9961	0.9758	0.9529
Patient 4	0.001	2330	17	17637	98	0.9596	0.999	0.9942	0.9759	0.9529
	0.0016	2375	25	17629	53	0.9781	0.9985	0.9961	0.9838	0.9682
	0.002	2387	31	17623	41	0.9831	0.9982	0.9964	0.9851	0.9707