Brain Tumor Classification on Large-scale MRI dataset

0.985AccuracyBFS+DFE+DR (Proposed EDSH framework)

Evaluation results

Method
BFS+DFE+DR (Proposed EDSH framework)2026.01	0.985	0.9805	0.9826	0.985	0.9897	0.9838	0.9751	0.9798	0.9924	0.9893
DFF+DR-BFS2026.01	0.9835	0.9799	0.9831	0.9835	0.9898	0.9833	0.9736	0.9783	0.9909	0.9878
BFS-DEF-R2026.01	0.9833	0.9796	0.9829	0.9833	0.9897	0.9831	0.9734	0.9781	0.9907	0.9876
DFE-R-BFS2026.01	0.9816	0.9774	0.9812	0.9816	0.9892	0.9814	0.9717	0.9764	0.989	0.9859
DFE+SR-BFS2026.01	0.9813	0.977	0.9811	0.9813	0.9891	0.9812	0.9714	0.9761	0.9887	0.9856
Mobilenet_v3_small2026.01	0.9777	0.9697	0.9773	0.9778	0.9921	0.9776	0.9642	0.9656	0.9968	0.9845
Vit_l_322026.01	0.9726	0.9626	0.9722	0.9727	0.9902	0.9724	0.956	0.9638	0.9974	0.9735
Efficient and Vgg2026.01	0.9719	0.9674	0.9707	0.9722	0.9803	0.9718	0.9601	0.9693	0.9817	0.9789
Efficientnet_v2_s2026.01	0.9707	0.9593	0.9689	0.9707	0.9895	0.9698	0.9642	0.9473	0.01	0.9713
Dens and Swin12026.01	0.9705	0.9659	0.9702	0.9706	0.9788	0.9704	0.9567	0.9621	0.9814	0.9802
Vit_b_322026.01	0.9696	0.9589	0.9699	0.9696	0.9891	0.9698	0.9377	0.9699	0.9974	0.9735
Googlenet2026.01	0.9688	0.957	0.9675	0.9689	0.9889	0.9682	0.957	0.952	0.9974	0.9691
Densenet1692026.01	0.9684	0.9574	0.969	0.9684	0.9886	0.9687	0.9227	0.9793	0.9981	0.9735
Vgg132026.01	0.9684	0.9571	0.9683	0.9685	0.9887	0.9684	0.9333	0.9699	0.9981	0.9726
Dense and Vit2026.01	0.968	0.962	0.968	0.968	0.978	0.968	0.952	0.959	0.981	0.978
Dens and Swin22026.01	0.9656	0.9592	0.9653	0.9656	0.977	0.9654	0.9552	0.9471	0.982	0.978
Squeezenet1_12026.01	0.9647	0.952	0.9643	0.9647	0.9875	0.9645	0.9575	0.9375	0.9905	0.9735
Resnet502026.01	0.9615	0.9476	0.9609	0.9615	0.9863	0.9612	0.9647	0.9257	0.9892	0.9664
Alexnet2026.01	0.9596	0.9455	0.9603	0.9596	0.9855	0.96	0.9285	0.945	0.9955	0.9695
Wide_resnet50_22026.01	0.9594	0.9499	0.9648	0.9594	0.9877	0.9621	0.956	0.9797	0.9086	0.9933
Convnext_large2026.01	0.9588	0.9454	0.9616	0.9588	0.9852	0.9602	0.9005	0.9605	0.9981	0.9761
Shufflenet_v2_x2_02026.01	0.9551	0.9422	0.9575	0.9551	0.9858	0.9563	0.9579	0.9459	0.9269	0.9898
Swin_v2_s2026.01	0.955	0.9409	0.9586	0.955	0.9839	0.9568	0.8923	0.9614	0.9911	0.9752
Efficientnet_b42026.01	0.9278	0.902	0.9266	0.9278	0.9748	0.9272	0.9237	0.8721	0.9697	0.9457
Mnasnet1_02026.01	0.8361	0.7787	0.8347	0.836	0.9431	0.8353	0.816	0.7053	0.9188	0.9046