Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.

When approaching thyroid gland tumor classification, the differentiation between samples with and without "papillary thyroid carcinoma-like" nuclei is a daunting task with high inter-observer variability among pathologists. Thus, there is increasing interest in the use of machine learning...

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Auteurs principaux: Moritz Böhland, Lars Tharun, Tim Scherr, Ralf Mikut, Veit Hagenmeyer, Lester D R Thompson, Sven Perner, Markus Reischl
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
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Accès en ligne:https://doaj.org/article/f1cd060f440044d3b6b4f08051f6350e
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