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Bertram, Christof A. 
ORCID: https://orcid.org/0000-0002-2402-9997; Aubreville, Marc ORCID: https://orcid.org/0000-0002-5294-5247; Donovan, Taryn A. ORCID: https://orcid.org/0000-0001-5740-9550; Bartel, Alexander ORCID: https://orcid.org/0000-0002-1280-6138; Wilm, Frauke; Marzahl, Christian; Assenmacher, Charles-Antoine; Becker, Kathrin ORCID: https://orcid.org/0000-0002-0922-8189; Bennett, Mark; Corner, Sarah; Cossic, Brieuc; Denk, Daniela; Dettwiler, Martina ORCID: https://orcid.org/0000-0001-9404-7122; Gonzalez, Beatriz Garcia; Gurtner, Corinne; Haverkamp, Ann-Kathrin; Heier, Annabelle ORCID: https://orcid.org/0000-0003-0915-4236; Lehmbecker, Annika; Merz, Sophie; Noland, Erica L.; Plog, Stephanie; Schmidt, Anja; Sebastian, Franziska; Sledge, Dodd G.; Smedley, Rebecca C. ORCID: https://orcid.org/0000-0001-5704-2664; Tecilla, Marco; Thaiwong, Tuddow; Fuchs-Baumgartinger, Andrea; Meuten, Donald J.; Breininger, Katharina; Kiupel, Matti; Maier, Andreas und Klopfleisch, Robert ORCID: https://orcid.org/0000-0002-6308-0568
(2021):
Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.
In: Veterinary Pathology, Bd. 59, Nr. 2, 3009858211067478: S. 211-226
[EPUB, 3MB]
ORCID: https://orcid.org/0000-0002-2402-9997; Aubreville, Marc ORCID: https://orcid.org/0000-0002-5294-5247; Donovan, Taryn A. ORCID: https://orcid.org/0000-0001-5740-9550; Bartel, Alexander ORCID: https://orcid.org/0000-0002-1280-6138; Wilm, Frauke; Marzahl, Christian; Assenmacher, Charles-Antoine; Becker, Kathrin ORCID: https://orcid.org/0000-0002-0922-8189; Bennett, Mark; Corner, Sarah; Cossic, Brieuc; Denk, Daniela; Dettwiler, Martina ORCID: https://orcid.org/0000-0001-9404-7122; Gonzalez, Beatriz Garcia; Gurtner, Corinne; Haverkamp, Ann-Kathrin; Heier, Annabelle ORCID: https://orcid.org/0000-0003-0915-4236; Lehmbecker, Annika; Merz, Sophie; Noland, Erica L.; Plog, Stephanie; Schmidt, Anja; Sebastian, Franziska; Sledge, Dodd G.; Smedley, Rebecca C. ORCID: https://orcid.org/0000-0001-5704-2664; Tecilla, Marco; Thaiwong, Tuddow; Fuchs-Baumgartinger, Andrea; Meuten, Donald J.; Breininger, Katharina; Kiupel, Matti; Maier, Andreas und Klopfleisch, Robert ORCID: https://orcid.org/0000-0002-6308-0568
(2021):
Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.
In: Veterinary Pathology, Bd. 59, Nr. 2, 3009858211067478: S. 211-226
[EPUB, 3MB]