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README.md
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---
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license: mit
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tags:
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- medical
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---
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# ViT Brain Tumor Classifier 🧠
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A ViT model trained on 75k brain MRI images using PyTorch + TIMM.
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## Labels
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- Glioma
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- Meningioma
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- Tumor (general)
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## Dataset
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[Brain Cancer MRI Dataset (2024)](https://www.kaggle.com/datasets/shuvokumarbasakbd/brain-cancer-mri-colorized-dataset)
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## How to Use
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```python
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from PIL import Image
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from torchvision import transforms
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import torch
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import timm
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model = timm.create_model('vit_base_patch16_224', pretrained=False, num_classes=3)
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model.load_state_dict(torch.load("pytorch_model.bin"))
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model.eval()
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img = Image.open("your_image.jpg")
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transform = transforms.Compose([
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transforms.Resize((224, 224)),
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transforms.ToTensor(),
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transforms.Normalize(mean=[0.5]*3, std=[0.5]*3),
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])
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input_tensor = transform(img).unsqueeze(0)
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pred = model(input_tensor).argmax(dim=1)
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