Application of Artificial Intelligence/Machine Vision & Learning for the Development of a Live Single-cell Phenotypic Biomarker Test to Predict Prostate Cancer Tumor Aggressiveness

To assess the usefulness and applications of machine vision (MV) and machine learning (ML) techniques that have been used to develop a single cell-based phenotypic (live and fixed biomarkers) platform that correlates with tumor biological aggressiveness and risk stratification, 100 fresh prostate sa...

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Detalhes bibliográficos
Publicado no:Rev Urol
Main Authors: Varsanik, Jonathan S., Manak, Michael S., Whitfield, Matthew J., Hogan, Brad J., Su, Wendell R., Jiang, CJ, Sant, Grannum R., Albala, David M., Chander, Ashok C.
Formato: Artigo
Idioma:Inglês
Publicado em: MedReviews, LLC 2020
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8058915/
https://ncbi.nlm.nih.gov/pubmed/33927573
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