Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy

BACKGROUND: Machine learning has many attractive theoretic properties, specifically, the ability to handle non predefined relations. Additionally, studies have validated the clinical utility of mpMRI for the detection and localization of CSPCa (Gleason score ≥ 3 + 4). In this study, we sought to dev...

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Detalles Bibliográficos
Autores principales: Yu, Shuanbao, Tao, Jin, Dong, Biao, Fan, Yafeng, Du, Haopeng, Deng, Haotian, Cui, Jinshan, Hong, Guodong, Zhang, Xuepei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127331/
https://www.ncbi.nlm.nih.gov/pubmed/33993876
http://dx.doi.org/10.1186/s12894-021-00849-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127331/
https://www.ncbi.nlm.nih.gov/pubmed/33993876
http://dx.doi.org/10.1186/s12894-021-00849-w

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