AI-based prostate analysis system trained without human supervision to predict patient outcome from tissue samples

In order to plan the best treatment for prostate cancer patients, the aggressiveness of the tumor is graded based on visual assessment of tissue biopsies according to the Gleason scale. Recently, a number of AI models have been developed that can be trained to do this grading as well as human pathol...

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Detalles Bibliográficos
Autores principales: Walhagen, Peter, Bengtsson, Ewert, Lennartz, Maximilian, Sauter, Guido, Busch, Christer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577124/
https://www.ncbi.nlm.nih.gov/pubmed/36268078
http://dx.doi.org/10.1016/j.jpi.2022.100137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577124/
https://www.ncbi.nlm.nih.gov/pubmed/36268078
http://dx.doi.org/10.1016/j.jpi.2022.100137

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