Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Bryan M. Williams"'
Autor:
Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Ricki Boswell-Challand, Zheheng Jiang, Plamen Angelov, Sue Black
Publikováno v:
Sensors, Vol 22, Iss 4, p 1569 (2022)
The knuckle creases present on the dorsal side of the human hand can play significant role in identifying the offenders of serious crime, especially when evidence images of more recognizable biometric traits, such as the face, are not available. Thes
Externí odkaz:
https://doaj.org/article/1ec875d30db54ff3a42b2b9cdfaa3d90
Autor:
Venkatesh Krishna Adithya, Bryan M. Williams, Silvester Czanner, Srinivasan Kavitha, David S. Friedman, Colin E. Willoughby, Rengaraj Venkatesh, Gabriela Czanner
Publikováno v:
Journal of Imaging, Vol 7, Iss 6, p 92 (2021)
Current research in automated disease detection focuses on making algorithms “slimmer” reducing the need for large training datasets and accelerating recalibration for new data while achieving high accuracy. The development of slimmer models has
Externí odkaz:
https://doaj.org/article/7055ec6002bf4d6f8c2f67ba0d0cbc32
Autor:
Baidaa Al-Bander, Bryan M. Williams, Waleed Al-Nuaimy, Majid A. Al-Taee, Harry Pratt, Yalin Zheng
Publikováno v:
Symmetry, Vol 10, Iss 4, p 87 (2018)
Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of noticeable early symptoms. Colour fundus photography allows the optic disc (
Externí odkaz:
https://doaj.org/article/2d032a0efc6c41118a258005ecdf6fdb
Autor:
Harry Pratt, Bryan M. Williams, Jae Yee Ku, Charles Vas, Emma McCann, Baidaa Al-Bander, Yitian Zhao, Frans Coenen, Yalin Zheng
Publikováno v:
Journal of Imaging, Vol 4, Iss 1, p 4 (2017)
The analysis of retinal blood vessels present in fundus images, and the addressing of problems such as blood clot location, is important to undertake accurate and appropriate treatment of the vessels. Such tasks are hampered by the challenge of accur
Externí odkaz:
https://doaj.org/article/ea907491340c4796a4af519bc818c5f8
Publikováno v:
Applied Sciences, Vol 7, Iss 4, p 351 (2017)
The measurement of the thicknesses of layers is important for the quality assurance of industrial coating systems. Current measurement techniques only provide a limited amount of information. Here, we show that spectral domain Line Field (LF) Optical
Externí odkaz:
https://doaj.org/article/ab41d5e55e3b4458b8d413cfad0a606c
Autor:
Lauren J. Coan, Bryan M. Williams, Venkatesh Krishna Adithya, Swati Upadhyaya, Ala Alkafri, Silvester Czanner, Rengaraj Venkatesh, Colin E. Willoughby, Srinivasan Kavitha, Gabriela Czanner
Publikováno v:
Survey of Ophthalmology. 68:17-41
Glaucoma is a leading cause of irreversible vision impairment globally, and cases are continuously rising worldwide. Early detection is crucial, allowing timely intervention that can prevent further visual field loss. To detect glaucoma, examination
Autor:
Decio Filipe Alves‐Lima, Bryan M. Williams, Harald Schlegl, Gaurav Gupta, Rosa Letizia, Richard Dawson, Hungyen Lin
Publikováno v:
Fuel Cells.
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Bryan M. Williams, Plamen Angelov, Ritesh Vyas, Ricki Boswell-Challand, Sue Black, Hossein Rahmani
Publikováno v:
IJCB
In many cases of serious crime, images of a hand can be the only evidence available for the forensic identification of the offender. As well as placing them at the scene, such images and video evidence offer proof of the offender committing the crime
Autor:
Colin E. Willoughby, Srinivasan Kavitha, Bryan M. Williams, Rengaraj Venkatesh, Gabriela Czanner, David S. Friedman, Silvester Czanner, Venkatesh Krishna Adithya
Publikováno v:
Journal of Imaging
Volume 7
Issue 6
Journal of Imaging, Vol 7, Iss 92, p 92 (2021)
Volume 7
Issue 6
Journal of Imaging, Vol 7, Iss 92, p 92 (2021)
Current research in automated disease detection focuses on making algorithms “slimmer” reducing the need for large training datasets and accelerating recalibration for new data while achieving high accuracy. The development of slimmer models has