Chest-X-ray-AI-Diagnosis-System-univ-project

🫁 Chest X-ray AI Diagnosis System (NIH Dataset)

📌 Project Description

This project is an AI-based system designed to analyze Chest X-ray images and assist in detecting and classifying lung diseases using Deep Learning techniques.

The system aims to support doctors and healthcare professionals by providing fast and accurate predictions based on medical imaging data, helping in early diagnosis and better decision-making.

By using artificial intelligence, the system can recognize patterns in X-ray images that may indicate different chest diseases.

🎯 Objectives

Analyze chest X-ray images automatically
Detect and classify lung diseases
Support medical diagnosis using AI
Reduce diagnosis time
Build a practical healthcare system

📊 Dataset

Name: NIH Chest X-ray Dataset
Source: National Institutes of Health (NIH)
Type: Medical imaging dataset
Content: More than 100,000 chest X-ray images with multiple disease labels

🔗 Dataset Link:
https://nihcc.app.box.com/v/ChestXray-NIHCC

⚙️ Technologies Used

Python
PyTorch / TensorFlow
NumPy & Pandas
OpenCV
Scikit-learn
Flask
Matplotlib

🧠 Deep Learning Model

Convolutional Neural Network (CNN)
Pre-trained models (ResNet, EfficientNet, etc.)
Transfer Learning
Multi-label classification

🧹 Data Preprocessing

Image resizing and normalization
Data augmentation
Handling class imbalance
Dataset splitting (Train / Validation / Test)
Label encoding

🌐 Web Integration

The trained model is integrated into a web application using Flask, allowing users to:

Upload X-ray images
Get instant diagnosis results
View prediction confidence
Use the system easily