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brain-tumor-efficientnetb3
Udit013/brain-tumor-efficientnetb3
brain-tumor-efficientnetb3 is a image classification model from Udit013. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
4-class T1-weighted brain MRI classifier (glioma, meningioma, notumor, pituitary). Reproduces the best model from an IEEE 2024 paper (DOI: 10.1109/ICC-ROBINS60238.2024.10533941) and extends it with production evaluati…
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Updated Jul 4, 2026
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At a glance
- Task
- Image Classification
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Jul 4, 2026
- Updated
- Jul 4, 2026
- SHA
- 9841eb10
Model card
From the Hugging Face model README
EfficientNetB3 Brain Tumor MRI Classifier
4-class T1-weighted brain MRI classifier (glioma, meningioma, notumor, pituitary).
Reproduces the best model from an IEEE 2024 paper
(DOI: 10.1109/ICC-ROBINS60238.2024.10533941) and extends it with production
evaluation. Input: 256x256x3 RGB, raw [0,255] pixels (EfficientNet rescales
internally). Files: efficientnetb3.onnx (serving), EfficientNetB3_model_weights.h5
(Grad-CAM), temperature.json (calibration T).
Not a medical device — research/education only; dataset has documented train/test leakage. Full evaluation + code: https://github.com/Udit013/Brain_Tumor_Classificatioin
- Task
- Image Classification
- Library
- keras
- License
- mit
- Created
- Jul 4, 2026
- Updated
- Jul 4, 2026