Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology

One in eight men will be affected by prostate cancer (PCa) in their lives. While the current clinical standard prognostic marker for PCa is the Gleason score, it is subject to inter-reviewer variability. This study compares two machine learning methods for discriminating between cancerous regions on...

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Detalles Bibliográficos
Autores principales: Duenweg, Savannah R., Brehler, Michael, Bobholz, Samuel A., Lowman, Allison K., Winiarz, Aleksandra, Kyereme, Fitzgerald, Nencka, Andrew, Iczkowski, Kenneth A., LaViolette, Peter S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019669/
https://www.ncbi.nlm.nih.gov/pubmed/36928230
http://dx.doi.org/10.1371/journal.pone.0278084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019669/
https://www.ncbi.nlm.nih.gov/pubmed/36928230
http://dx.doi.org/10.1371/journal.pone.0278084

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