As COVID-19 is highly infectious, the prevention of this disease is mandatory. The instant diagnosis of this disease is obligatory to stop the infection. The most commonly used procedure for COVID-19 detection is the RT-PCR test. But this process is very time-consuming and as a result, it allows the covid infected persons to spread the infection before they come to know the test result. Here, the method of detecting COVID-19 from CT scan images is used as a replacement for the conventional RT-PCR test. But this alternative method has its demerit too. To diagnose COVID-19 from these CT scan images, the analysis of a radiologist expert is required. So, a deep-learning based method for automatic detection of covid infection from the CT scan images is used.
- Python
- Numpy
- Pandas
- Keras
- Tensorflow
SARS-COV-2 Ct-Scan Dataset (https://www.kaggle.com/datasets/plameneduardo/sarscov2-ctscan-dataset)
You will find the codes of this project inside the "code" folder.
You need to download the datasets from corresponding source (please follow the 'Dataset' section for source) and keep them in a folder of your google drive. You will have to rename the folder and set the 'path' value according to your folder location in the drive.