Selected article for: "accuracy performance and machine model"
Author: Gueguim Kana, E. B.; Zebaze Kana, M. G.; Donfack Kana, A. F.; Azanfack Kenfack, R. H.
Title: A web-based Diagnostic Tool for COVID-19 Using Machine Learning on Chest Radiographs (CXR)
  • Cord-id: 0aocxz3s
  • Document date: 2020_4_24
    • ID: 0aocxz3s
    Snippet: This paper reports the development and web deployment of an inference model for Coronavirus COVID-19 using machine vision on chest radiographs (CXR). The transfer learning from the Residual Network (RESNET-50) was leveraged for model development on CXR images from healthy individuals, bacterial and viral pneumonia, and COVID-19 positives patients. The performance metrics showed an accuracy of 99%, a recall valued of 99.8%, a precision of 99% and an F1 score of 99.8% for COVID-19 inference. The m
    Document: This paper reports the development and web deployment of an inference model for Coronavirus COVID-19 using machine vision on chest radiographs (CXR). The transfer learning from the Residual Network (RESNET-50) was leveraged for model development on CXR images from healthy individuals, bacterial and viral pneumonia, and COVID-19 positives patients. The performance metrics showed an accuracy of 99%, a recall valued of 99.8%, a precision of 99% and an F1 score of 99.8% for COVID-19 inference. The model was further successfully validated on CXR images from an independent repository. The implemented model was deployed with a web graphical user interface for inference (https://medics-inference.onrender.com ) for the medical research community; an associated cron job is scheduled to continue the learning process when novel and validated information becomes available

    Search related documents:
    Co phrase search for related documents
    • accurately predict and machine learn: 1
    • accurately predict and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute pneumonia and lung affect: 1, 2
    • acute pneumonia and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
    • acute pneumonia ards respiratory distress syndrome and machine learning: 1, 2, 3, 4