Comparison of machine learning models based on multi-parametric magnetic resonance imaging and ultrasound videos for the prediction of prostate cancer

OBJECTIVE: To establish machine learning (ML) prediction models for prostate cancer (PCa) using transrectal ultrasound videos and multi-parametric magnetic resonance imaging (mpMRI) and compare their diagnostic performance. MATERIALS AND METHODS: We systematically collated the data of 383 patients,...

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Detalles Bibliográficos
Autores principales: Qi, Xiaoyang, Wang, Kai, Feng, Bojian, Sun, Xingbo, Yang, Jie, Hu, Zhengbiao, Zhang, Maoliang, Lv, Cheng, Jin, Liyuan, Zhou, Lingyan, Wang, Zhengping, Yao, Jincao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227569/
https://www.ncbi.nlm.nih.gov/pubmed/37260984
http://dx.doi.org/10.3389/fonc.2023.1157949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227569/
https://www.ncbi.nlm.nih.gov/pubmed/37260984
http://dx.doi.org/10.3389/fonc.2023.1157949

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