densenet121-brain-tumor-classification

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.

• Dataset Link: https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset

Training Details.

• Base Model: DenseNet121 (pre-trained on ImageNet)
• Framework: TensorFlow / Keras
• Training Platform: Kaggle Notebooks