Abdominal Enhanced Computed Tomography Image by Artificial Intelligence Algorithm in the Diagnosis of Abdominal Aortic Aneurysm

The purpose of this study was to investigate the clinical value of CT angiography (CTA) images processed by the segmentation denoising technique based on deep convolution neural network algorithm in the diagnosis of abdominal aortic aneurysm (AAA) and the detection of disease changes. A total of 98...

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Vydané v:	Scientific programming Ročník 2021; s. 1 - 8
Hlavní autori:	Zheng, Tao, Shao, Guofeng, Zhou, Qingyun, Wang, Qinning, Ye, Mengmeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Hindawi 28.12.2021 John Wiley & Sons, Inc
Predmet:	Abdomen Algorithms Angiography Aorta Aortic aneurysms Artificial intelligence Artificial neural networks Computed tomography Deep learning Diagnosis Diagnostic systems Diameters Disease Health services Image enhancement Image segmentation Medical imaging Neural networks Noise Noise reduction Older people Optimization Tomography Ultrasonic imaging
ISSN:	1058-9244, 1875-919X
On-line prístup:	Získať plný text
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