An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)

Machine learning has been leveraged for image analysis applications throughout a multitude of subspecialties. This position paper provides a perspective on the evolutionary trajectory of practical deep learning tools for genitourinary pathology through evaluating the most recent iterations of such a...

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Detalles Bibliográficos
Autores principales: Parwani, Anil V., Patel, Ankush, Zhou, Ming, Cheville, John C., Tizhoosh, Hamid, Humphrey, Peter, Reuter, Victor E., True, Lawrence D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841212/
https://www.ncbi.nlm.nih.gov/pubmed/36654741
http://dx.doi.org/10.1016/j.jpi.2022.100177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841212/
https://www.ncbi.nlm.nih.gov/pubmed/36654741
http://dx.doi.org/10.1016/j.jpi.2022.100177

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