The Peter Moss COVID-19 AI Research Project AI Classification repository is a collection of open source Artificial Intelligence for COVID-19 detection/early detection created by our team. The projects in this repository focus on using AI for classifying COVID-19 using computer vision, including Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN).
Below you will find details of the projects in this repository. Projects with HIAS = YES require an installation of HIAS, you will not be able to use HIAS projects if you do not have a server already up and running.
| ID | Project | Description | HIAS | Author |
|---|---|---|---|---|
| 1 | COVID-19 Pneumonia detection/early detection | Detects Covid-19 Pneumonia signs from CT Scan Images by a CNN Model. The model have a uniform dataset of 764 Images of CT Scan which consist 349 Images of Covid-19 Pneumonia affected patients and remaining shows normal patient scans. | NO | Aniruddh Sharma |
| 2 | COVID-19 DenseNet | Uses DenseNet and 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. | YES | Adam Milton-Barker |
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia 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.
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Adam Milton-Barker - Peter Moss Leukemia AI Research Founder & Intel Software Innovator, Sabadell, Spain
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Aniruddh Sharma - Peter Moss Leukemia AI Research R&D, Ahmedabad, India
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.