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 approaches...

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Detalles Bibliográficos
Autores principales: Böhland, Moritz, Tharun, Lars, Scherr, Tim, Mikut, Ralf, Hagenmeyer, Veit, Thompson, Lester D. R., Perner, Sven, Reischl, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457451/
https://www.ncbi.nlm.nih.gov/pubmed/34550999
http://dx.doi.org/10.1371/journal.pone.0257635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457451/
https://www.ncbi.nlm.nih.gov/pubmed/34550999
http://dx.doi.org/10.1371/journal.pone.0257635

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