Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network

Table 5

REMBRANDT dataset-based classification performance of CD_BLNL model.

Manifold	Mode of operation	Precision	Recall	Accuracy	Stability loss	score
I	Training	95.81	93.94	97.94	95.91	94.54
	Testing	95.74	93.81	97.84	95.74	94.34
II	Training	95.74	93.89	97.91	95.89	94.56
	Testing	95.68	93.75	97.81	95.70	94.44
III	Training	95.71	93.91	97.93	95.86	94.38
	Testing	95.67	93.82	97.85	95.75	94.29
IV	Training	95.56	93.94	97.91	95.84	94.41
	Testing	95.49	93.86	97.83	95.71	94.36
V	Training	95.67	93.85	97.74	95.90	94.40
	Testing	95.57	93.78	97.69	95.86	94.35
VI	Training	95.55	93.86	97.78	95.81	94.28
	Testing	95.49	93.81	97.65	95.74	94.15
VII	Training	95.68	93.91	97.84	95.91	94.22
	Testing	95.58	93.87	97.78	95.88	94.19
VIII	Training	95.76	93.90	97.86	95.58	94.33
	Testing	95.69	93.82	97.79	95.47	94.28
IX	Training	95.80	93.92	97.80	95.77	94.37
	Testing	95.71	93.88	97.75	95.66	94.29
X	Training	95.77	93.87	97.88	95.74	94.33
	Testing	95.67	93.76	97.79	95.68	94.29
Average (%)		95.667	93.8575	97.8185	95.77	94.34