This model can automatically segment areas of Lung infection in CT images for Covid-19 patients. It will scan the CT images and point out infected regions in Lungs of the patient. As Covid-19 has affected large number of people an automated solution can be helpful in quick diagnosis of disease. In this model a deep learning pipeline is used for COVID-19 lung infection detection, which can be trained on smaller 3D CT images datasets. Different preprocessing and Data augmentation techniques are used in order to avoid overfitting of the 3D U-Net Model.The model shows decent performance on validation parameters.
Input variables : Chest CT Image
Output Variables : Covid-19 infection segmentation
Visit Model : github.com
Additional links : arxiv.org
| Model Category | : | Public |
| Date Published | : | June, 2020 |
| Healthcare Domain | : |
Medical Technology
Provider |
| Code | : | github.com |
| Health Risk Management |
| Disease Detection |