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IEEE5mon
Comparative Analysis of CNN Architectures With Transfer Learning for Brain Tumor Detection and Classification From MRI Scans
The study at hand evaluates several existing CNN architectures such as VGG16, Inception, Xception and DenseNet121 with respect to their performance in classifying brain tumors. This research aims at ...
IEEE4mon
Evaluation of CNN Architectures for Brain Tumor Identification and Classification
Brain tumor detection ... that ResNet-50 model demonstrated the highest accuracy of 98.78%, making it a strong candidate for efficient brain tumor classification. This research yields significant ...