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pro vyhledávání: '"C K, Chow"'
Publikováno v:
Diagnostics, Vol 14, Iss 5, p 567 (2024)
Single-plane fluoroscopy systems with image intensifiers remain commonly employed in a clinical setting. The imagery they capture is vulnerable to several types of geometric distortions introduced by the system’s components and their assembly as we
Externí odkaz:
https://doaj.org/article/efda14b2cc674b858195952938e81249
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-5-2020, Pp 39-46 (2020)
The ISPRS Student Consortium (ISPRS SC) continues to engage the youth in many activities aligned with the mission and vision of ISPRS. For the term 2016 – 2020, the ISPRS SC strengthened its foundations through collaboration within the ISPRS Counci
Externí odkaz:
https://doaj.org/article/c79fb0ec1f754b0ca2378b342671eb50
Autor:
A. Singleton, S. R. Partridge, R. Raeside, M. Regimbal, K. K. Hyun, C. K. Chow, K. Sherman, E. Elder, J. Redfern
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-8 (2019)
Abstract Background Breast cancer is the most common cancer diagnosed in women worldwide. In developed countries, 80–90% of women will survive five years after diagnosis but the transition from hospital-based care to health self-management and self
Externí odkaz:
https://doaj.org/article/c10100ebb3334dffb7bf0cc976f351e1
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 101-106 (2018)
X-ray imaging is a fundamental tool of routine clinical diagnosis. Fluoroscopic imaging can further acquire X-ray images at video frame rates, thus enabling non-invasive in-vivo motion studies of joints, gastrointestinal tract, etc. For both the qual
Externí odkaz:
https://doaj.org/article/e5184ad8f40e41afa4a3ca765ecda969
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 93-99 (2018)
Visual perception is regularly used by humans and robots for navigation. By either implicitly or explicitly mapping the environment, ego-motion can be determined and a path of actions can be planned. The process of mapping and navigation are delicate
Externí odkaz:
https://doaj.org/article/6a9d0bac10074121a772e959550622da
Autor:
J. C. K. Chow
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 339-344 (2017)
In the absence of external reference position information (e.g. surveyed targets or Global Navigation Satellite Systems) Simultaneous Localization and Mapping (SLAM) has proven to be an effective method for indoor navigation. The positioning drift ca
Externí odkaz:
https://doaj.org/article/3fac16e7cfcb4a35985b32e829105290
Autor:
J. C. K. Chow
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 333-338 (2017)
Sensor fusion of a MEMS IMU with a magnetometer is a popular system design, because such 9-DoF (degrees of freedom) systems are capable of achieving drift-free 3D orientation tracking. However, these systems are often vulnerable to ambient magnetic d
Externí odkaz:
https://doaj.org/article/ebf55f85261e40f89174903ab07cc97d
Autor:
Daniel C K Chow
Publikováno v:
Journal of International Economic Law. 25:507-515
Autor:
J. M. Nolde, M. P. Schlaich, D. I. Sessler, A. Mian, T. B. Corcoran, C. K. Chow, M. T. V. Chan, F. K. Borges, M. H. McGillion, P. S. Myles, N. L. Mills, P. J. Devereaux, G. S. Hillis
Publikováno v:
Nolde, J M, Schlaich, M P, Sessler, D I, Mian, A, Corcoran, T B, Chow, C K, Chan, M T V, Borges, F K, McGillion, M H, Myles, P S, Mills, N L, Devereaux, P J & Hillis, G S 2023, ' Machine learning to predict myocardial injury and death after non-cardiac surgery ', Anaesthesia: Peri-operative medicine, critical care and pain . https://doi.org/10.1111/anae.16024
Myocardial injury due to ischaemia within 30 days of non-cardiac surgery is prognostically relevant. We aimed to determine the discrimination, calibration, accuracy, sensitivity and specificity of single-layer and multiple-layer neural networks for m
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