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Check out the documentation for more information.
Tumor Classifier for MRI Images
This model is trained to distinguish 4-ary cases of MRI brain images in relation to tumors.
The cases are:
- healthy
- glioma
- meningioma
- pituitary
The inital model resnet18 was loaded from pytorch.
Usage
import torch from torchvision import models
model = models.resnet18(pretrained=False) model.fc = nn.Linear(model.fc.in_features, 4)
pytorch state_dict = torch.load('ResNet_mri__62026.pth', map_location=torch.device('cpu'), weights_only=True) model.load_state_dict(state_dict)
huggingface model_path = hf_hub_download( repo_id="ubuti/MRI_tumor_classification_model", filename="ResNet_mri__62026.pth" ) state_dict = torch.load(model_path, map_location=torch.device('cpu'))
license: gpl-3.0
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