Diagnostic of Cystic Fibrosis in Lung Computer Tomographic Images using Image Annotation and Improved PSPNet Modelling

The research deals with the development of an algorithm for detecting pathological formation in cystic fibrosis using the PSPNet model with focal loss. The model allows data sets to be entered in accordance to their similarities based on their pathological diagnostic signs. The simple and effective...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-08, Vol.1611 (1), p.12062
Main Authors: Francis, N J, Francis, N S, Axyonov, S V, Aljasar, S A, Xu, Y, Saqib, M
Format: Article
Language:English
Subjects:
Algorithms
Cystic fibrosis
Diagnostic systems
Image annotation
Lungs
Physics
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Summary:The research deals with the development of an algorithm for detecting pathological formation in cystic fibrosis using the PSPNet model with focal loss. The model allows data sets to be entered in accordance to their similarities based on their pathological diagnostic signs. The simple and effective algorithm structure groups annotated images, processes them in a multi-scale CNN, and localizes areas of cystic fibrosis in the lungs with high accuracy.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1611/1/012062