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Medsage Brain Tumor Ensemble

Brain Tumor Detection - DenseNet-169 + EfficientNet-B3 Ensemble (PyTorch). Classifies MRI images into: Glioma, Meningioma, No Tumor, Pituitary.

KindOtherVersionRevision 297e7bf

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.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 project.

Sources

1 source
Hugging FacePrimaryVersion 297e7bf3ac65506e1403d2fab1903f0b3c8f6921
huggingface.co/Amar-nadh/medsage-brain-tumor-ensemble/tree/297e7bf3ac65506e1403d2fab1903f0b3c8f6921

Verified Sep 28

Model artifacts

2 artifacts

densenet169_best.pth

pth · 154 MB · SHA-256 04cd61c99915…5afc · Hugging Face

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efficientnetb3_best.pth

pth · 132 MB · SHA-256 dd1b69b360c3…135c · Hugging Face

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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