Texture analysis based on PI-RADS 4/5-scored magnetic resonance images combined with machine learning to distinguish benign lesions from prostate cancer

BACKGROUND: The global morbidity and mortality of prostate cancer (PCa) increase sharply every year. Early diagnosis is essential; it determines survival and outcome. So, this study extracted the texture features of apparent diffusion coefficient images in multiparametric magnetic resonance imaging...

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Detalles Bibliográficos
Autores principales: Ma, Lu, Zhou, Qi, Yin, Huming, Ang, Xiaojie, Li, Yu, Xie, Gansheng, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189174/
https://www.ncbi.nlm.nih.gov/pubmed/35706813
http://dx.doi.org/10.21037/tcr-21-2271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189174/
https://www.ncbi.nlm.nih.gov/pubmed/35706813
http://dx.doi.org/10.21037/tcr-21-2271

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