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# Brain Tumor Detection
Brain Tumor Classification Using Swin Transformer
Apache-2.0
This model is a brain tumor image classification model based on the Swin Transformer architecture, achieving outstanding performance in image classification tasks with an accuracy rate of 99.49%.
Image Classification
Transformers
TransformersB
surajjoshi
103
1
Brain Tumor Detector Swin
Apache-2.0
A brain tumor detection model based on Swin Transformer architecture, excelling in image classification tasks
Image Classification Transformers
TransformersB
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4
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