ImagingCOVID-19

ImagingCOVID-19 is desktop application for computer-aided recognition of COVID-19 in chest imaging. The program supports the analysis of uploaded files and generating feedback on the results obtained from recognizing COVID-19 symptoms on the analyzed images. It was created as a student project at Warsaw Universty of Technology.

COVID-19 is a contagious respiratory disease, caused by becoming infected with SARS-CoV-2 virus, which high infection rate caused 2020 global pandemic. Many COVID-19 patients develop respiratory symptoms, with lung lesions made visible by X-Ray or CT images.

This app contains the following functionalities for CT and X-Ray images:

• Anonymization of medical images
• Vizualization for formats DICOM, NIfTI, JPEG, PNG
• Lungs segmentation
• Features extraction from grayscale images
• Features classification
• Selection the study layers for analysis
• Manual selection COVID-19 lung lesions and calculating severity score
• Generating reports based on the obtained results

Databases

1. X-Ray images: https://www.kaggle.com/tawsifurrahman/covid19-radiography-database

M.E.H. Chowdhury, T. Rahman, A. Khandakar, R. Mazhar, M.A. Kadir, Z.B. Mahbub, K.R. Islam, M.S. Khan, A. Iqbal, N. Al-Emadi, M.B.I. Reaz, M. T. Islam, “Can AI help in screening Viral and COVID-19 pneumonia?” IEEE Access, Vol. 8, 2020, pp. 132665 - 132676.

2. CT images: https://mosmed.ai/datasets/covid19_1110

Morozov, S.P., Andreychenko, A.E., Pavlov, N.A., Vladzymyrskyy, A.V., Ledikhova, N.V., Gombolevskiy, V.A., Blokhin, I.A., Gelezhe, P.B., Gonchar, A.V. and Chernina, V.Y., 2020. MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset. arXiv preprint arXiv:2005.06465.

Neural networks

1. Classification of CT images: https://github.com/med-air/Contrastive-COVIDNet

Wang, Zhao & Liu, Quande & Dou, Qi. (2020). Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification. IEEE journal of biomedical and health informatics. PP. 10.1109/JBHI.2020.3023246.

2. Segmentation lungs from X-Ray images: https://www.kaggle.com/nikhilpandey360/lung-segmentation-from-chest-x-ray-dataset/notebook

Project structure

project
└───ImagingCOVID-19
│   └───GUI  
│   │   └───main.kv
│   │   └───main.py
│   └───Methods
|   │   └───Train
|   └───tests
└───models
    └───ct
    └───xray

Requirements

Application is implemented in python v3.7.1 and Kivy framework. All required libraries are listed in the file requirements.txt.

Start

To start application run main.py script.