Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer.
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| Title: | Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. |
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| Authors: | 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. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1110-1114. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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