COVID-19 X-ray DL Classification Using Transfer Learning

Introduction

This project aims to develop a deep learning model for the classification of COVID-19 using X-ray images. By leveraging convolutional neural networks (CNN) and transfer learning techniques, this model utilizes pre-trained architectures such as VGG16, ResNet, and DenseNet to improve the efficiency and accuracy of COVID-19 detection from medical images. The dataset includes train and test sets of X-ray images, and the project is implemented using Python with TensorFlow and Keras frameworks.

Project Overview

• Objective: To classify COVID-19 from X-ray images using CNN and transfer learning.
• Frameworks: TensorFlow, Keras
• Models: VGG16, ResNet, DenseNet
• Techniques: Transfer learning, CNN

Useful Links

• Project Code: COVID-19 X-ray DL Classification - Transfer Learning
• Dataset: COVID-19 X-ray Dataset (Train-Test Sets)

Tags

Python, TensorFlow, Keras, CNN, VGG16, ResNet, DenseNet, Transfer Learning, COVID-19