Medsage Brain Tumor Ensemble
Brain Tumor Detection - DenseNet-169 + EfficientNet-B3 Ensemble (PyTorch). Classifies MRI images into: Glioma, Meningioma, No Tumor, Pituitary.
Model source
- Kind
- Other
- File size
- 132–154 MB
- Version
- vRevision 297e7bf
- Updated
- Sep 28, 2026
- Downloads
- 0
- Source
- Hugging Face
Source description
medsage-brain-tumor-ensemble
Brain Tumor Detection - DenseNet-169 + EfficientNet-B3 Ensemble (PyTorch). Classifies MRI images into: Glioma, Meningioma, No Tumor, Pituitary.
Files
densenet169_best.pthefficientnetb3_best.pth
Usage
These model weights are served via a HuggingFace Space (FastAPI inference server) as part of the MedSage AI Doctor project.
Project
Part of the MedSage AI Doctor Agent project.
Sources
1 source
Sources
1 sourceVerified Sep 28
Model artifacts
2 artifacts
Model artifacts
2 artifactsSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: mit tags: - pytorch - image-classification - medical - brain-tumor - mri library_name: pytorch --- # medsage-brain-tumor-ensemble Brain Tumor Detection - DenseNet-169 + EfficientNet-B3 Ensemble (PyTorch). Classifies MRI images into: Glioma, Meningioma, No Tumor, Pituitary. ## Files - `densenet169_best.pth` - `efficientnetb3_best.pth` ## Usage These model weights are served via a HuggingFace Space (FastAPI inference server) as part of the MedSage AI Doctor project. ## Project Part of the [MedSage AI Doctor Agent](https://github.com/Arc-coder07/Ai-docter-agent) project.
Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo Amar-nadh/medsage-brain-tumor-ensemble
