Iris Tumor Detection using CNN

This project utilizes Convolutional Neural Networks (CNN) for detecting tumors in iris images. It aims to assist in automating the classification of iris images as either tumorous or healthy, leveraging the power of deep learning.

Features

-Model Architecture:- Custom CNN or MobileNetV2 for efficient and accurate classification.
-Dataset Handling:- Automated train/test split and preprocessing.
-User-Friendly Interface:- Supports easy-to-run configurations.

File Structure

-train_model_v2.py: Code for training the CNN model.
-app.py: Main application file for making predictions.
-requirements.txt: List of required Python packages.
-Dataset folders: Organize the dataset as per the project requirements.

Requirements

-Python 3.8+
-TensorFlow 2.x
-NumPy
-Scikit-learn

License

This project is licensed under the MIT License.