This project implements a tumor classification model using a sequential neural network. The model is designed to classify medical images into two classes: 'Tumor' and 'No Tumor.' The dataset comprises images resized to 64x64 pixels, and the classification is based on features extracted using a sequential neural network architecture.
- Python
- TensorFlow (Keras)
- OpenCV
- Pillow (PIL)
- NumPy