Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters.

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作者： Rossana,Castaldo ^[1] ; Valentina,Brancato ^[1] ; Carlo,Cavaliere ^[1] ; Leandro,Pecchia ^[2] ; Ester,Illiano ^[3] ; Elisabetta,Costantini ^[4] ; Alfonso,Ragozzino ^[5] ; Marco,Salvatore ^[5] ; Emanuele,Nicolai ^[1] ; Monica,Franzese ^[1]

作者单位： Bioinformatics and Biostatistics Lab, IRCCS SYNLAB SDN, Naples, Italy. ^[1] School of Engineering, University of Warwick, Coventry, United Kingdom. ^[2] Università Campus Bio-Medico Roma, Roma, Italy. ^[3] Campus Bio-Medico, Fondazione Policlinico Universitario, Roma, Italy. ^[4] Adrology and Urogynecological Clinic, Santa Maria Terni Hospital, University of Perugia, Terni, Italy. ^[5]

关键词 MRI machine learning prostate cancer radiomics risk score

DOI 10.3389/fonc.2024.1323247

PMID 38873254

发布时间 2024-06-15

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Frontiers in oncology

2024年14卷

1323247页

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Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters.

Frontiers in oncology

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Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters.

Frontiers in oncology

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Frontiers in oncology

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