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Zeitschriftenartikel
Scharre, Annabel; Scholler, Dominik; Gesell‐May, Stefan 
ORCID: https://orcid.org/0000-0002-0834-6677; Müller, Tobias; Zablotski, Yury ORCID: https://orcid.org/0000-0001-6928-4089; Ertel, Wolfgang und May, Anna ORCID: https://orcid.org/0000-0003-3038-5952
(2024):
Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases.
In: Equine Veterinary Journal
[PDF, 463kB]
ORCID: https://orcid.org/0000-0002-0834-6677; Müller, Tobias; Zablotski, Yury ORCID: https://orcid.org/0000-0001-6928-4089; Ertel, Wolfgang und May, Anna ORCID: https://orcid.org/0000-0003-3038-5952
(2024):
Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases.
In: Equine Veterinary Journal
[PDF, 463kB]
May, Anna ORCID: https://orcid.org/0000-0003-3038-5952; Gesell‐May, Stefan; Müller, Tobias und Ertel, Wolfgang
(2022):
Artificial intelligence as a tool to aid in the differentiation of equine ophthalmic diseases with an emphasis on equine uveitis.
In: Equine Veterinary Journal, Bd. 54, Nr. 5: S. 847-855
[PDF, 2MB]
ORCID: https://orcid.org/0000-0003-3038-5952; Gesell‐May, Stefan; Müller, Tobias und Ertel, Wolfgang
(2022):
Artificial intelligence as a tool to aid in the differentiation of equine ophthalmic diseases with an emphasis on equine uveitis.
In: Equine Veterinary Journal, Bd. 54, Nr. 5: S. 847-855
[PDF, 2MB]