A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores

We examined whether a tool for determining Johnsen scores automatically using artificial intelligence (AI) could be used in place of traditional Johnsen scoring to support pathologists’ evaluations. Average precision, precision, and recall were assessed by the Google Cloud AutoML Vision platform. We...

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Detalles Bibliográficos
Autores principales: Ito, Yurika, Unagami, Mami, Yamabe, Fumito, Mitsui, Yozo, Nakajima, Koichi, Nagao, Koichi, Kobayashi, Hideyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107178/
https://www.ncbi.nlm.nih.gov/pubmed/33967273
http://dx.doi.org/10.1038/s41598-021-89369-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107178/
https://www.ncbi.nlm.nih.gov/pubmed/33967273
http://dx.doi.org/10.1038/s41598-021-89369-z

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