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

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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Bibliographic Details
Main Authors: Leandro Donisi, Giuseppe Cesarelli, Anna Castaldo, Davide Raffaele De Lucia, Francesca Nessuno, Gaia Spadarella, Carlo Ricciardi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Journal of Imaging
Subjects:
radiomics
machine learning
MRI
prostate cancer
Online Access:https://www.mdpi.com/2313-433X/7/10/215

Internet

https://www.mdpi.com/2313-433X/7/10/215

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