Zobrazeno 1 - 2
of 2
pro vyhledávání: '"M��ller, Heimo"'
Autor:
Matschinske, Julian, Sp��th, Julian, Nasirigerdeh, Reza, Torkzadehmahani, Reihaneh, Hartebrodt, Anne, Orb��n, Bal��zs, Fej��r, S��ndor, Zolotareva, Olga, Bakhtiari, Mohammad, Bihari, B��la, Bloice, Marcus, Donner, Nina C, Fdhila, Walid, Frisch, Tobias, Hauschild, Anne-Christin, Heider, Dominik, Holzinger, Andreas, H��tzendorfer, Walter, Hospes, Jan, Kacprowski, Tim, Kastelitz, Markus, List, Markus, Mayer, Rudolf, Moga, M��nika, M��ller, Heimo, Pustozerova, Anastasia, R��ttger, Richard, Saranti, Anna, Schmidt, Harald HHW, Tschohl, Christof, Wenke, Nina K, Baumbach, Jan
Publikováno v:
Arxiv (Preprint)
Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas and are driven by the increasing amount of available data. However, this data is often distributed across different institutions and cannot be shared du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::499fa054fba0d01ea3570b4ccd00724e
http://arxiv.org/abs/2105.05734
http://arxiv.org/abs/2105.05734
Autor:
Holzinger, Andreas, Malle, Bernd, Kieseberg, Peter, Roth, Peter M., M��ller, Heimo, Reihs, Robert, Zatloukal, Kurt
Digital pathology is not only one of the most promising fields of diagnostic medicine, but at the same time a hot topic for fundamental research. Digital pathology is not just the transfer of histopathological slides into digital representations. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b243fb94f5aab144400a73a60279e091
http://arxiv.org/abs/1712.06657
http://arxiv.org/abs/1712.06657