Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yediel, Yeliz Ucer"'
Autor:
Jugl, Maximilian, Welten, Sascha, Mou, Yongli, Yediel, Yeliz Ucer, Beyan, Oya Deniz, Sax, Ulrich, Kirsten, Toralf
With the generation of personal and medical data at several locations, medical data science faces unique challenges when working on distributed datasets. Growing data protection requirements in recent years drastically limit the use of personally ide
Externí odkaz:
http://arxiv.org/abs/2309.06171
Autor:
Boukhers, Zeyd, Bleier, Arnim, Yediel, Yeliz Ucer, Hienstorfer-Heitmann, Mio, Jaberansary, Mehrshad, Koumpis, Adamantios, Beyan, Oya
Data privacy and ownership are significant in social data science, raising legal and ethical concerns. Sharing and analyzing data is difficult when different parties own different parts of it. An approach to this challenge is to apply de-identificati
Externí odkaz:
http://arxiv.org/abs/2303.18200
Skin cancer is the most common cancer type. Usually, patients with suspicion of cancer are treated by doctors without any aided visual inspection. At this point, dermoscopy has become a suitable tool to support physicians in their decision-making. Ho
Externí odkaz:
http://arxiv.org/abs/2103.13226
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Welten, Sascha Martin, Mou, Yongli, Neumann, Laurenz, Jaberansary, Mehrshad, Yediel, Yeliz Ucer, Kirsten, Toralf, Decker, Stefan Josef, Beyan, Oya Deniz
Publikováno v:
Methods of Information in Medicine 61(S01), e1-e11 (2022). doi:10.1055/s-0041-1740564
Methods of Information in Medicine (2022). doi:10.1055/s-0041-1740564
Published by Thieme, Stuttgart
Published by Thieme, Stuttgart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed46e47a76ca06f12cbcc810d2baf30a
https://publica.fraunhofer.de/handle/publica/428493
https://publica.fraunhofer.de/handle/publica/428493