Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/63235
Title: Diagnostic of Cystic Fibrosis in Lung Computer Tomographic Images using Image Annotation and Improved PSPNet Modelling
Authors: Samuel Ragland Francis, Natzina Juanita
Samuel Ragland Francis, Nadine Susanne
Aksenov, Sergey Vladimirovich
Aljasar, S. A.
Xu, Y.
Saqib, Muhammad
Keywords: диагностика; компьютерные томографы; томографические изображения; легкие; патология; изображения; легочные поражения
Issue Date: 2020
Publisher: IOP Publishing
Citation: Diagnostic of Cystic Fibrosis in Lung Computer Tomographic Images using Image Annotation and Improved PSPNet Modelling / N. J. Samuel Ragland Francis, N. S. Samuel Ragland Francis, S. V. Aksenov [et al.] // Journal of Physics: Conference Series. — Bristol : IOP Publishing, 2020. — Vol. 1611 : Prospects of Fundamental Sciences Development (PFSD-2020) : XVII International Conference of Students and Young Scientists, 21-24 April, 2020, Tomsk, Russian Federation. — [012062, 6 p.].
Abstract: 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 multiscale CNN, and localizes areas of cystic fibrosis in the lungs with high accuracy.
URI: http://earchive.tpu.ru/handle/11683/63235
Appears in Collections:Материалы конференций

Files in This Item:
File Description SizeFormat 
doi.org_10.1088_1742-6596_1611_1_012062.pdf760,89 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons