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Brain Tumor Detection - DenseNet-169 + EfficientNet-B3 Ensemble (PyTorch). Classifies MRI images into: Glioma, Meningioma, No Tumor, Pituitary.
Modellquelle
Quellenbeschreibung
Brain Tumor Detection - DenseNet-169 + EfficientNet-B3 Ensemble (PyTorch). Classifies MRI images into: Glioma, Meningioma, No Tumor, Pituitary.
densenet169_best.pthefficientnetb3_best.pthThese model weights are served via a HuggingFace Space (FastAPI inference server) as part of the MedSage AI Doctor project.
Quellen
1 QuelleVerifiziert 28. Sept.
Modellartefakte
2 ArtefakteQuellenauszüge
2 Auszüge--- 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.
Part of the MedSage AI Doctor Agent project.
Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo Amar-nadh/medsage-brain-tumor-ensemble