<ul><li>A comparative analysis was done between CNNs and prototypical networks to classify brain tumor MRI images.</li><li>The CNN model was trained with only 5 images of the glioma class and performed well on classifying new images.</li><li>The Prototypical Network, designed for few-shot learning, showed better generalization and improved accuracy in classifying different tumor types.</li><li>Overall, the Prototypical Network was more effective in few-shot learning scenarios with limited data.</li></ul>

Comparing CNN and Prototypical Networks for Brain Tumor MRI Classification

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