https://github.com/amaanwanie/chestdiseaseai

chest diseases detection using ResNet
https://github.com/amaanwanie/chestdiseaseai

ai covid-19 covid-19-data data-science deep-learning healthcare machine-learning medical-application public-health pytorch resnet-18 torch torchvision x-ray

Last synced: about 8 hours ago
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chest diseases detection using ResNet

• Host: GitHub
• URL: https://github.com/amaanwanie/chestdiseaseai
• Owner: AmaanWanie
• Created: 2024-07-29T15:20:42.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-30T15:59:28.000Z (5 months ago)
• Last Synced: 2024-07-30T20:05:53.299Z (5 months ago)
• Topics: ai, covid-19, covid-19-data, data-science, deep-learning, healthcare, machine-learning, medical-application, public-health, pytorch, resnet-18, torch, torchvision, x-ray
• Language: Jupyter Notebook
• Homepage: https://covi19.streamlit.app/
• Size: 39.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
#COVID-19 Detection

Model: ResNet-based Convolutional Neural Network (CNN)

Purpose: Accurately classifies chest X-ray images into three categories: normal, viral pneumonia, and COVID-19.

Methodology: The model leverages deep learning techniques to extract relevant features from chest X-ray images and classify them into respective categories.

            trained on ~42.3k images.

            dataset: https://www.kaggle.com/datasets/tawsifurrahman/covid19-radiography-database

app: [covi19.streamlit.app](https://covi19.streamlit.app/)