Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shaked Naor"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-18 (2022)
Abstract Background The human body is inhabited by a diverse community of commensal non-pathogenic bacteria, many of which are essential for our health. By contrast, pathogenic bacteria have the ability to invade their hosts and cause a disease. Char
Externí odkaz:
https://doaj.org/article/0cee292138a84f53abcb7b73616a3c85
Publikováno v:
BMC bioinformatics. 23(1)
BackgroundThe human body is inhabited by a diverse community of commensal non-pathogenic bacteria, many of which are essential for our health. By contrast, pathogenic bacteria have the ability to invade their hosts and cause a disease. Characterizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc1ec2f1b0c47ad31843f1a386824721
https://pubmed.ncbi.nlm.nih.gov/35751023
https://pubmed.ncbi.nlm.nih.gov/35751023
Autor:
Roie Melamed, Alon Hazan, Esma Herzel, Shaked Naor, Gideon Koren, Ayelet Akselrod-Ballin, Yaara Goldschmidt, Michal Rosen-Zvi, Michal Chorev, Adam Spiro, Ehud Karavani, Yoel Shoshan, Michal Guindy, Varda Shalev, Ella Barkan
Publikováno v:
Radiology. 292:331-342
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d00f4b30af27c0b93a8db960452deb4f
https://doi.org/10.1148/radiol.2019182622
https://doi.org/10.1148/radiol.2019182622
Autor:
Adam Spiro, Esma Herzel, Shaked Naor, Ayelet Akselrod-Ballin, Varda Shalev, Michal Guindy, Alon Hazan, Vesna Resende Barros, Iuliana Weinstein, Michal Chorev, Michal Rosen-Zvi, Yoel Shoshan
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::610b7d8f1153839f54bacd0ee23a61d7
https://doi.org/10.1007/978-3-030-59725-2_79
https://doi.org/10.1007/978-3-030-59725-2_79
Autor:
Michal Chorev, Iuliana Weinstein, Michal Guindy, Yoel Shoshan, Varda Shalev, Alon Hazan, Vesna Resende Barros, Esma Herzel, Shaked Naor, Adam Spiro, Ayelet Akselrod-Ballin, Michal Rosen-Zvi
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597245
MICCAI (6)
MICCAI (6)
We investigate the potential contribution of an AI system as a safety net application for radiologists in breast cancer screening. As a safety net, the AI alerts on cases suspected to be malignant which the radiologist did not recommend for a recall.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d338c152452a63ee7a66de1e2046110
https://doi.org/10.1007/978-3-030-59725-2_22
https://doi.org/10.1007/978-3-030-59725-2_22
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::26a4cf919b8488279df14739f8acae9b