Breast-Cancer-Image-Analysis

Breast Cancer Detection Using InceptionV3

Overview

This project implements a deep learning-based approach to detect breast cancer using MRI images. The InceptionV3 model is fine-tuned for binary classification (benign vs. malignant) to assist in early and accurate diagnosis of breast cancer.

---

Features

• Deep Learning Architecture: Utilizes the pre-trained InceptionV3 model.
• Dataset: Kaggle's breast cancer dataset.
• High Accuracy: Achieves ~90% accuracy with robust performance metrics.
• Augmentation: Implements data augmentation for improved generalization.
• Real-Time Predictions: Allows for quick classification of new images.

---