Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Peter D. Kecskemethy"'
Autor:
Nisha Sharma, Annie Y. Ng, Jonathan J. James, Galvin Khara, Éva Ambrózay, Christopher C. Austin, Gábor Forrai, Georgia Fox, Ben Glocker, Andreas Heindl, Edit Karpati, Tobias M. Rijken, Vignesh Venkataraman, Joseph E. Yearsley, Peter D. Kecskemethy
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Double reading (DR) in screening mammography increases cancer detection and lowers recall rates, but has sustainability challenges due to workforce shortages. Artificial intelligence (AI) as an independent reader (IR) in DR may pr
Externí odkaz:
https://doaj.org/article/426068f0b7d94abbaf22604f63e2df02
Autor:
Annie Y Ng, Ben Glocker, Cary Oberije, Georgia Fox, Nisha Sharma, Jonathan J James, Éva Ambrózay, Jonathan Nash, Edith Karpati, Sarah Kerruish, Peter D Kecskemethy
Publikováno v:
Journal of Breast Imaging. 5:267-276
Objective To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as supporting reader for the detection of breast cancer in mammography-based double reading screening practice. Methods Large-scale multi-site, multi-ven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::693d83011950047a19d3caf5e7120faf
https://doi.org/10.1093/jbi/wbad010
https://doi.org/10.1093/jbi/wbad010
Autor:
Annie Y. Ng, Ben Glocker, Cary Oberije, Georgia Fox, Jonathan Nash, Edith Karpati, Sarah Kerruish, Peter D. Kecskemethy
ObjectivesTo evaluate the effectiveness of a novel strategy for using AI as a supporting reader for the detection of breast cancer in mammography-based double reading screening practice. Instead of replacing a human reader, here AI serves as the seco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c0b9e65783565ea9d81417f5a9af90
https://doi.org/10.1101/2022.06.22.22276751
https://doi.org/10.1101/2022.06.22.22276751
Autor:
Nisha Sharma, Annie Y. Ng, Jonathan J. James, Galvin Khara, Eva Ambrozay, Christopher C. Austin, Gabor Forrai, Georgia Fox, Ben Glocker, Andreas Heindl, Edit Karpati, Tobias M. Rijken, Vignesh Venkataraman, Joseph E. Yearsley, Peter D. Kecskemethy
ImportanceScreening mammography with two human readers increases cancer detection and lowers recall rates, but workforce shortages make double reading unsustainable in many countries. Artificial intelligence (AI) as an independent reader in double re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bdf542a0c408601579b8a21e7d5d9c1
https://doi.org/10.1101/2021.02.26.21252537
https://doi.org/10.1101/2021.02.26.21252537