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Article

Computer Tools to Analyze Lung CT Changes after Radiotherapy

1
Department of Electroradiology, Poznan University of Medical Sciences, 61-701 Poznań, Poland
2
Radiation Oncology Department IV, Greater Poland Cancer Centre, 61-866 Poznań, Poland
3
Institute of Computing Science, Poznan University of Technology, 60-965 Poznań, Poland
4
Radiation Oncology Department I, Greater Poland Cancer Centre, 61-866 Poznań, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Francesco Bianconi and Michał Strzelecki
Appl. Sci. 2021, 11(4), 1582; https://doi.org/10.3390/app11041582
Received: 4 January 2021 / Revised: 24 January 2021 / Accepted: 30 January 2021 / Published: 10 February 2021
(This article belongs to the Special Issue Machine Learning for Biomedical Application)
The paper describes a computer tool dedicated to the comprehensive analysis of lung changes in computed tomography (CT) images. The correlation between the dose delivered during radiotherapy and pulmonary fibrosis is offered as an example analysis. The input data, in DICOM (Digital Imaging and Communications in Medicine) format, is provided from CT images and dose distribution models of patients. The CT images are processed using convolution neural networks, and next, the selected slices go through the segmentation and registration algorithms. The results of the analysis are visualized in graphical format and also in numerical parameters calculated based on the images analysis. View Full-Text
Keywords: lung cancer; CT images; CNN; pulmonary fibrosis; radiotherapy lung cancer; CT images; CNN; pulmonary fibrosis; radiotherapy
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MDPI and ACS Style

Konkol, M.; Śniatała, K.; Śniatała, P.; Wilk, S.; Baczyńska, B.; Milecki, P. Computer Tools to Analyze Lung CT Changes after Radiotherapy. Appl. Sci. 2021, 11, 1582. https://doi.org/10.3390/app11041582

AMA Style

Konkol M, Śniatała K, Śniatała P, Wilk S, Baczyńska B, Milecki P. Computer Tools to Analyze Lung CT Changes after Radiotherapy. Applied Sciences. 2021; 11(4):1582. https://doi.org/10.3390/app11041582

Chicago/Turabian Style

Konkol, Marek, Konrad Śniatała, Paweł Śniatała, Szymon Wilk, Beata Baczyńska, and Piotr Milecki. 2021. "Computer Tools to Analyze Lung CT Changes after Radiotherapy" Applied Sciences 11, no. 4: 1582. https://doi.org/10.3390/app11041582

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