[Retracted] Deep Learning Model for Automatic Classification and Prediction of Brain Tumor

Table 7

Comparison with existing state-of-art models.

Study	Dataset source	No. of images	Technique used	Accuracy
Gu et al. [1]	REMBRANDT	3064	CDLLC on CNN	96.39%
Deepak et al. [2]	Figshare	1426	SVM with CNN	95.82%
Kumar et al. [3]	Figshare	3064	RNGAP model on CNN	97.08%
Rehman et al. [4]	BraTS 2018	1074	3DCNN	92.67%
Rajasree et al. [5]	BraTS 2015	374	MSMCNN	96.36%
Abd El Kader et al. [6]	Figshare	3064	HSANN	97.33%
Bodapati et al. [7]	BraTS 2018	1074	ELM	97.8%
Mzoughi et al. [8]	BraTS 2018	1074	3DCNN	96.49%
Sajjad et al. [9]	Radiopaedia	121	Deep-CNN	94.58%
Abiwinanda. et al. [10]	Figshare	3064	CNN	84.19%
Proposed methodology	Kaggle	1800	VGG19	98%