An Efficient CNN for Radiogenomic Classification of Low-Grade Gliomas on MRI in a Small Dataset

Table 5

Performance comparison.

Model	Precision	Recall	F1-score	Accuracy
Ours	0.9650	0.9649	0.9650	0.9650
MobileNetV2 [14]	1.0	0.8709	0.9200	0.9200
InceptionV3 [15]	0.923076	1	0.9600	0.9428
InceptionResNetV2 [14]	0.90625	0.9354	0.9153	0.90
AlexNet [16]	0.93620	0.95650	0.9462	0.9483
VGG16 [16]	0.89660	0.9286	0.9123	0.9138
Shwetha and Madhavi [17]	0.89	0.92	0.90	0.88
DenseNet-169 [10]	—	—	—	0.9412
DenseNet-SVM [10]	—	—	—	0.9412
CNNs [18]	—	—	—	0.9500
SVM [19]	0.70	0.71	0.70	0.71