AI-predicted mpMRI image features for the prediction of clinically significant prostate cancer

PURPOSE: To evaluate the feasibility of using mpMRI image features predicted by AI algorithms in the prediction of clinically significant prostate cancer (csPCa). MATERIALS AND METHODS: This study analyzed patients who underwent prostate mpMRI and radical prostatectomy (RP) at the Affiliated Hospita...

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Detalles Bibliográficos
Autores principales: Li, Song, Wang, Ke-Xin, Li, Jia-Lei, He, Yi, Wang, Xiao-Ying, Tang, Wen-Rui, Xie, Wen-Hua, Zhu, Wei, Wu, Peng-Sheng, Wang, Xiang-Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Urology - Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560153/
https://www.ncbi.nlm.nih.gov/pubmed/37553543
http://dx.doi.org/10.1007/s11255-023-03722-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560153/
https://www.ncbi.nlm.nih.gov/pubmed/37553543
http://dx.doi.org/10.1007/s11255-023-03722-x

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