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.]
Уровень набора: (RuTPU)RU\TPU\network\3526, Journal of Physics: Conference SeriesЯзык: английский.Страна: .Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: 17 tit.].Тематика: электронный ресурс | труды учёных ТПУ | диагностика | компьютерные томографы | томографические изображения | легкие | патология | изображения | легочные поражения Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайнНет реальных экземпляров для этой записи
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[References: 17 tit.]
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.
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