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

Abstract 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 pla...

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Bibliographic Details
Main Authors: Yurika Ito, Mami Unagami, Fumito Yamabe, Yozo Mitsui, Koichi Nakajima, Koichi Nagao, Hideyuki Kobayashi
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doaj.org/article/56570af72ab6480f9c1c1f41d77d342e
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