This project provides notebooks and tutorials for creating Convolutional Neural Network models for detecting COVID-19 in CT-Scans.
We will be using FastAI to create classifier implementations using SARS-COV-2 Ct-Scan Dataset, a large dataset of CT scans for SARS-CoV-2 (COVID-19) identification created by our collaborators, Plamenlancaster: Professor Plamen Angelov from Lancaster University/ Centre Director @ Lira, & his researcher, Eduardo Soares PhD.
These projects should be used for research purposes only. The purpose of the projects are to show the potential of Artificial Intelligence for medical support systems such as diagnosis systems. Although the programs are fairly accurate and show good results both on paper and in real world testing, they are not meant to be an alternative to professional medical diagnosis. Salvatore Raieli is a bioinformatician researcher and PhD in Immunology, but does not work in medical diagnosis. Please use these systems responsibly.
Please follow the Installation Guide to install COVID-19 FastAI Classifiers.
Assuming you have completed the installation guide, you can now begin training.
Navigate to the project root and open the choosen notebook.
Angelov, Plamen, and Eduardo Almeida Soares. "EXPLAINABLE-BY-DESIGN APPROACH FOR COVID-19 CLASSIFICATION VIA CT-SCAN." medRxiv (2020).
Soares, Eduardo, Angelov, Plamen, Biaso, Sarah, Higa Froes, Michele, and Kanda Abe, Daniel. "SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification." medRxiv (2020). doi: https://doi.org/10.1101/2020.04.24.20078584.
Link:
https://www.medrxiv.org/content/10.1101/2020.04.24.20078584v2
The Peter Moss COVID-19 AI Research Project encourages and welcomes code contributions, bug fixes and enhancements from the Github.
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.
- Salvatore Raieli - Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss Bioinformatics & Immunology AI R&D, Bologna, Italy
We use SemVer for versioning. For the versions available, see Releases.
This project is licensed under the MIT License - see the LICENSE file for details.
We use the repo issues to track bugs and general requests related to using this project. See CONTRIBUTING for more info on how to submit bugs, feature requests and proposals.