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# Brain Tumor Diagnosis
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Apache-2.0
A brain tumor detection model based on the Swin Transformer architecture, achieving 98.04% accuracy in image classification tasks
Image Classification
Transformers
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ShimaGh
421
4
Brain Tumor Classification
Apache-2.0
A fine-tuned brain tumor image classification model based on Swin Transformer architecture, achieving 96.47% accuracy on the evaluation set
Image Classification Transformers
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Devarshi
205
9
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