Combining EfficientNetB0 and ResNet50 with transfer learning yields an 88 percent accuracy claim for four-class brain tumor MRI classification, but the reported metrics are internally inconsistent and the model is not reproducible from the paper.
Brain tumour detection from images and compar- ison with transfer learning methods and 3- layer CNN
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Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning
Combining EfficientNetB0 and ResNet50 with transfer learning yields an 88 percent accuracy claim for four-class brain tumor MRI classification, but the reported metrics are internally inconsistent and the model is not reproducible from the paper.