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https://github.com/rafat3000/covid-19-xray-dl-classification-transfer-learning-

Build Model Covid-19 Xray using CNN & Transfer learning
https://github.com/rafat3000/covid-19-xray-dl-classification-transfer-learning-

cnn-classification denec densenet121 generator keras-tensorflow matplotlib numpy pandas plotly resnet seaborn sk vgg16

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Build Model Covid-19 Xray using CNN & Transfer learning

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# COVID-19 X-ray DL Classification Using Transfer Learning

![COVID-19 X-ray Classification](https://www.human.de/_default_upload_bucket/8605/image-thumb__8605__auto_84ef03aa9f476061a93ee83d1106546c/csm_20200608_Graphic_Header.png)

## 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](https://www.kaggle.com/code/rafatalzakout/covid-19-xray-dl-classification-transfer-learning)
- **Dataset**: [COVID-19 X-ray Dataset (Train-Test Sets)](https://www.kaggle.com/datasets/khoongweihao/covid19-xray-dataset-train-test-sets)

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