Dataset Sample Images
DenseNet121 Architecture
Covid19-Detector Model
Covid19-Detector Confusion Matrix
Covid19-Detector Evaluation
Covid19-Detector Accuracy/Loss Curves

Project Information

  • Title: COVID-19 Detector
  • Author: Maryam Saeidmehr
  • Institute: Isfahan University of Technology (Bachelor's Project)
  • Duration: Sept. 2021 - Aug. 2022
  • Used Stack:
    • - Artificial Neural Network: Python (Keras, matplotlib, numpy, opencv, pandas, scikit-learn, seaborn, tensorflow)
    • - Web App front-end: ReactJS
    • - Web App back-end: Python-Django

Description

  • Implemented a deep convolutional neural network to detect Covid-19 from CT images using Keras and Tensorflow.
  • Performed data pre-processing and augmentation using Python.
  • Evaluated model performance using metrics such as accuracy, sensitivity, and specificity.
  • Deployed model as a web application by using Django REST framework and ReactJS.