Zobrazeno 1 - 3
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pro vyhledávání: '"Manz, Robin"'
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:
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.
