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.
MRI brain tumour detection us- ing deep learning and machine learning ap- proaches
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.