Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Olivier X Miguel"'
Autor:
Mark C Walker, Inbal Willner, Olivier X Miguel, Malia S Q Murphy, Darine El-Chaâr, Felipe Moretti, Alysha L J Dingwall Harvey, Ruth Rennicks White, Katherine A Muldoon, André M Carrington, Steven Hawken, Richard I Aviv
Publikováno v:
PLoS ONE, Vol 17, Iss 6, p e0269323 (2022)
ObjectiveTo develop and internally validate a deep-learning algorithm from fetal ultrasound images for the diagnosis of cystic hygromas in the first trimester.MethodsAll first trimester ultrasound scans with a diagnosis of a cystic hygroma between 11
Externí odkaz:
https://doaj.org/article/21cd3c4a22d14bb4ac171e482e3eddbd
Autor:
Olivier X. Miguel, Emily Kaczmarek, Inok Lee, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Ruth Rennicks White, Brigitte Bonin, Richard I. Aviv, Steven Hawken, Christine M. Armour, Kevin Dick, Mark C. Walker
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularly in the field of medical imaging. In this study, we investigated the application of deep learning models in early detection of fetal kidney
Externí odkaz:
https://doaj.org/article/1b1076e9d8de45589de8d9dee87b887a
Publikováno v:
3D Printing in Medicine, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract Background Patient specific three-dimensional (3D) models can be derived from two-dimensional medical images, such as magnetic resonance (MR) images. 3D models have been shown to improve anatomical comprehension by providing more accurate as
Externí odkaz:
https://doaj.org/article/e18748796c264fe78ef361e51e861167
Autor:
Mark C. Walker, Inbal Willner, Olivier X. Miguel, Malia S. Q. Murphy, Darine El-Chaâr, Felipe Moretti, Alysha L. J. Dingwall Harvey, Ruth Rennicks White, Katherine A. Muldoon, André M. Carrington, Steven Hawken, Richard I. Aviv
Publikováno v:
PloS one. 17(6)
Objective To develop and internally validate a deep-learning algorithm from fetal ultrasound images for the diagnosis of cystic hygromas in the first trimester. Methods All first trimester ultrasound scans with a diagnosis of a cystic hygroma between
Publikováno v:
3D Printing in Medicine
3D Printing in Medicine, Vol 7, Iss 1, Pp 1-10 (2021)
3D Printing in Medicine, Vol 7, Iss 1, Pp 1-10 (2021)
Background Patient specific three-dimensional (3D) models can be derived from two-dimensional medical images, such as magnetic resonance (MR) images. 3D models have been shown to improve anatomical comprehension by providing more accurate assessments
Publikováno v:
3D Printing in Medicine
3D Printing in Medicine, Vol 7, Iss 1, Pp 1-6 (2021)
3D Printing in Medicine, Vol 7, Iss 1, Pp 1-6 (2021)
Background This prospective study investigated whether the use of 3D-printed model facilitates novice learning of radiology anatomy on multiplanar computed tomography (CT) when compared to traditional 2D-based learning tools. Specifically, whether th