Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Cramer, Samantha"'
Autor:
Müller, Dominik, Meyer, Philip, Rentschler, Lukas, Manz, Robin, Hieber, Daniel, Bäcker, Jonas, Cramer, Samantha, Wengenmayr, Christoph, Märkl, Bruno, Huss, Ralf, Kramer, Frank, Soto-Rey, Iñaki, Raffler, Johannes
Prostate cancer is a dominant health concern calling for advanced diagnostic tools. Utilizing digital pathology and artificial intelligence, this study explores the potential of 11 deep neural network architectures for automated Gleason grading in pr
Externí odkaz:
http://arxiv.org/abs/2403.16695
Autor:
Müller, Dominik, Meyer, Philip, Rentschler, Lukas, Manz, Robin, Bäcker, Jonas, Cramer, Samantha, Wengenmayr, Christoph, Märkl, Bruno, Huss, Ralf, Soto-Rey, Iñaki, Raffler, Johannes
Advances in digital pathology and artificial intelligence (AI) offer promising opportunities for clinical decision support and enhancing diagnostic workflows. Previous studies already demonstrated AI's potential for automated Gleason grading, but lac
Externí odkaz:
http://arxiv.org/abs/2403.16678
Autor:
Eerkens, Jelmer W., Asgari, Sepideh, Alizadeh, Karim, Malarchik, Diana, Cramer, Samantha, Parker, Glendon
Publikováno v:
In Journal of Archaeological Science: Reports October 2024 58
Autor:
Cramer, Samantha A., Cramer
Cancers in which epigenetic changes, such as hypermethylation of DNA, lead to drug resistance cause the cancer to become unresponsive to existing chemotherapeutic treatments. The epigenetic drug – 5-aza-2’-deoxycytidine (decitabine, DAC) – is a
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=csu1463511936
Publikováno v:
66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie-und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); 20210926-20210930; sine loco [digital]; DOCAbstr. 121 /20210924/
Einleitung: Im Rahmen der COVID-19 Pandemie wird vom Bundesministerium für Bildung und Forschung (BMBF) das Netzwerk Universitätsmedizin (NUM) gefördert. Das Netzwerk soll zur Bewältigung der Pandemie beitragen, indem die Daten der behandelten Pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d36c2137616b835e817799eb6763efe
http://nbn-resolving.de/urn:nbn:de:0183-21gmds0262
http://nbn-resolving.de/urn:nbn:de:0183-21gmds0262
Akademický článek
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Akademický článek
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Autor:
Müller D; Faculty of Applied Computer Science, University of Augsburg, Germany.; Institute for Digital Medicine, University Hospital Augsburg, Germany., Meyer P; Institute for Digital Medicine, University Hospital Augsburg, Germany., Rentschler L; Institute for Digital Medicine, University Hospital Augsburg, Germany.; Institute for Pathology, University Hospital Augsburg, Germany., Manz R; Institute for Digital Medicine, University Hospital Augsburg, Germany., Hieber D; Institute for Pathology, University Hospital Augsburg, Germany.; Institute DigiHealth, Neu-Ulm University of Applied Sciences, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany., Bäcker J; Institute for Digital Medicine, University Hospital Augsburg, Germany., Cramer S; Institute for Digital Medicine, University Hospital Augsburg, Germany., Wengenmayr C; Institute for Digital Medicine, University Hospital Augsburg, Germany., Märkl B; Institute for Pathology, University Hospital Augsburg, Germany., Huss R; Institute for Pathology, University Hospital Augsburg, Germany.; BioM Biotech Cluster Development GmbH, Germany., Kramer F; Faculty of Applied Computer Science, University of Augsburg, Germany., Soto-Rey I; Institute for Digital Medicine, University Hospital Augsburg, Germany., Raffler J; Institute for Digital Medicine, University Hospital Augsburg, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany.
Publikováno v:
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1110-1114.