Lung Diseases Detection using Deep Learning

Overview

This project focuses on detecting lung diseases from CT images using deep learning techniques. It involves building and comparing various Convolutional Neural Network (CNN) models to achieve high accuracy in disease detection.

Table of Contents

• Overview
• Project Description
  • Technical Development
  • Performance Comparison

Project Description

Technical Development

• Convolutional Neural Network (CNN): Developed a CNN model specifically designed to detect lung diseases from CT images, achieving an accuracy of 90%.

Performance Comparison

• Transfer Learning Models: Compared the CNN model with well-known transfer learning models, VGG-16 and Inception V3, to validate and highlight performance improvements.