Computer-Aided Brain Tumor Diagnosis: Performance Evaluation of Deep Learner CNN Using Augmented Brain MRI

Table 5

Comparative analysis of the proposed system with the other CAD systems.

Reference	Technique	Training images	Testing images	Accuracy
[38]	Random Forest Classifier	372	93	86%
[36]	CNN	2451	613	91.30%
[35]	R-CNN	2451	613	91.66%
[39]	ANN	160	40	92.14%
[34]	CNN	222	56	93.9%
[33]	CNN	400	100	96.08%
[37]	CNN	2451	613	96.13%
[41]	Support Vector Machine (SVM)	372	93	97.1%
[40]	Deep CNN (D-CNN)	372	93	98.07%
Proposed model	CNN	510	1265	98.8%