A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset

Although prostate cancer is one of the most common causes of mortality and morbidity in advancing-age males, early diagnosis improves prognosis and modifies the therapy of choice. The aim of this study was the evaluation of a combined radiomics and machine learning approach on a publicly available d...

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Detalles Bibliográficos
Autores principales: Donisi, Leandro, Cesarelli, Giuseppe, Castaldo, Anna, De Lucia, Davide Raffaele, Nessuno, Francesca, Spadarella, Gaia, Ricciardi, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540196/
https://www.ncbi.nlm.nih.gov/pubmed/34677301
http://dx.doi.org/10.3390/jimaging7100215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540196/
https://www.ncbi.nlm.nih.gov/pubmed/34677301
http://dx.doi.org/10.3390/jimaging7100215

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