Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Russell C. Hardie"'
Publikováno v:
AI, Vol 3, Iss 4, Pp 931-947 (2022)
Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boos
Externí odkaz:
https://doaj.org/article/ae280b94460c451f857573ba8602819b
Publikováno v:
Sensors, Vol 24, Iss 1, p 296 (2024)
Convolutional neural networks (CNNs) have become instrumental in advancing multi-frame image super-resolution (SR), a technique that merges multiple low-resolution images of the same scene into a high-resolution image. In this paper, a novel deep lea
Externí odkaz:
https://doaj.org/article/742a1c0d7cb64775a54308a854c83edd
Transfer-to-Transfer Learning Approach for Computer Aided Detection of COVID-19 in Chest Radiographs
Autor:
Barath Narayanan Narayanan, Russell C. Hardie, Vignesh Krishnaraja, Christina Karam, Venkata Salini Priyamvada Davuluru
Publikováno v:
AI, Vol 1, Iss 4, Pp 539-557 (2020)
The coronavirus disease 2019 (COVID-19) global pandemic has severely impacted lives across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities similar to viral pneumonia. A Computer-Aided Detection (CAD) system for the
Externí odkaz:
https://doaj.org/article/9ad0106067dc4be39e0847990f98e42f
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5500 (2022)
Deep learning approaches play a crucial role in computer-aided diagnosis systems to support clinical decision-making. However, developing such automated solutions is challenging due to the limited availability of annotated medical data. In this study
Externí odkaz:
https://doaj.org/article/7ca916ab1f2d45668f9ed4f5f7602c4f
Autor:
Redha A. Ali, Russell C. Hardie
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-11 (2017)
Abstract In this paper, we propose a computationally efficient algorithm for video denoising that exploits temporal and spatial redundancy. The proposed method is based on non-local means (NLM). NLM methods have been applied successfully in various i
Externí odkaz:
https://doaj.org/article/7e1ee015ae9747fcaeb9e18a45b6d5c4
Autor:
Barry eKarch, Russell C. Hardie
Publikováno v:
Frontiers in Physics, Vol 3 (2015)
Multi-frame super-resolution (SR) processing seeks to overcome undersampling issues that can lead to undesirable aliasing artifacts. The key to effective multi-frame SR is accurate subpixel inter-frame registration. This accurate registration is chal
Externí odkaz:
https://doaj.org/article/9aec2b59366749efb478959286099fd0
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Externí odkaz:
https://doaj.org/article/3a35d4ac85384696bc7ef12c5de1fcf7
Autor:
Douglas R. Droege, Russell C. Hardie
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
During digital video acquisition, imagery may be degraded by a number of phenomena including undersampling, blur, and noise. Many systems, particularly those containing infrared focal plane array (FPA) sensors, are also subject to detector nonuniform
Externí odkaz:
https://doaj.org/article/01109666d9cd449b91143fd4e2289c60
Publikováno v:
Optical Engineering. 61
This paper presents an atmospheric optical turbulence mitigation method that uses a sequence of short-exposure frames. An iterative block matching registration method is proposed for image dewarping. The dewarped frames are combined in a least square
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da670070ad0dcd62b6bf801fc1b8c6b6
https://publica.fraunhofer.de/handle/publica/439426
https://publica.fraunhofer.de/handle/publica/439426