A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.

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Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.

This script reads DICOM files in a source directory or in a list of source directories and searches for the patients in the given patients' list creates a DICOM DataBase in the destination directory, copies the files, and creates a DicomDataBase.csv file and a summary.txt file.

Local Binary Pattern: COVID-19 Recognition

Covid 19 detection using CT scans and chest Xrays with deep learning.

A web app to detect covid using CT scans. made with self architectured custom CNN model, providing an accuracy of 97%

Lung Segmentation