Superlative Feature Selection Based Image Classification Using Deep Learning in Medical Imaging

Table 1

Existing approaches.

Article	Year	Model	Classification classes	Data size
[29]	2020	VGG-16 and VGG-19	T1, T1CE, T2, and Flair	75 low-grade gliomas and 210 high-grade gliomas
[30]	2019	VGG-19	Glioma grades	3064 images of 233 patients
[31]	2019	2D CNN with genetic algorithm	(Meningioma, glioma, and pituitary) and (glioma grades)	600 MRI images
[32]	2019	Customized CNN	Tumor or normal	330 MRI images
[33]	2019	ResNet34	Tumor or normal	48 3D images
[34]	2019	Customized CNN	Glioblastoma, metastatic bronchogenic, and sarcoma	66 MRI images
[35]	2018	VGG-16	Classification of brain tumor type	43 3D images