Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maria Mackey"'
Autor:
Joshua Bridge, Yanda Meng, Wenyue Zhu, Thomas Fitzmaurice, Caroline McCann, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Yitian Zhao, Yalin Zheng
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundThe automatic analysis of medical images has the potential improve diagnostic accuracy while reducing the strain on clinicians. Current methods analyzing 3D-like imaging data, such as computerized tomography imaging, often treat each image
Externí odkaz:
https://doaj.org/article/73cdd74c75f3404b808bddc410afae31
Autor:
Joshua Bridge, Yanda Meng, Wenyue Zhu, Thomas Fitzmaurice, Caroline McCann, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Yitian Zhao, Yalin Zheng
ObjectivesTo develop and externally geographically validate a mixed-effects deep learning model to diagnose COVID-19 from computed tomography (CT) imaging following best practice guidelines and assess the strengths and weaknesses of deep learning COV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d066e75723b08b42e3b354f0bfa992
https://doi.org/10.1101/2022.01.28.22270005
https://doi.org/10.1101/2022.01.28.22270005
Autor:
Yanda Meng, Joshua Bridge, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Thomas Fitzmaurice, Caroline McCann, Qiang Li, Yitian Zhao, Yalin Zheng
Publikováno v:
Medical Image Analysis. 84:102722
Coronavirus disease (COVID-19) has caused a worldwide pandemic, putting millions of people's health and lives in jeopardy. Detecting infected patients early on chest computed tomography (CT) is critical in combating COVID-19. Harnessing uncertainty-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38ae6da7c590f68ce37a9773b93adaf8
https://doi.org/10.1016/j.media.2022.102722
https://doi.org/10.1016/j.media.2022.102722
Autor:
Maria Mackey
Publikováno v:
SSRN Electronic Journal.
The elderly population is projected to nearly double by the year 2030. With the increased number of elderly needing healthcare and concerns of ageist attitudes towards the elderly, student nurses need to have a better understanding of this patient po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11b0454ab8b8c104c805f847dca12631
https://doi.org/10.2139/ssrn.2962083
https://doi.org/10.2139/ssrn.2962083