Model Description.
This model is a fine-tuned DenseNet121 for classifying brain tumors from MRI scans. It was trained using transfer learning on a publicly available dataset from Kaggle. The model is capable of distinguishing between four classes: pituitary, glioma, meningioma, and no_tumor.
Intended Use.
This model is intended for non-commercial and research purposes only. It can be used for:
- Classifying brain tumors in MRI images.
- Serving as a baseline for further research.
Performance.
The model was evaluated on a held-out test set and achieved the following results:
Metric.
Accuracy 98.45% Precision 98% Recall 98% F1-Score 98%
Training Data.
The model was trained on the Brain Tumor MRI Dataset available on Kaggle.
Training Details.
- Base Model: DenseNet121 (pre-trained on ImageNet)
- Framework: TensorFlow / Keras
- Training Platform: Kaggle Notebooks
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