Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer

Background: Prostate cancer (PCa) diagnosis using MRI is often challenged by lesion variability. Methods: This study introduces Simplatab, an open-source automated machine learning (AutoML) framework designed for, but not limited to, automating the entire machine Learning pipeline to facilitate the...

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Principais autores:	Dimitrios I. Zaridis, Vasileios C. Pezoulas, Eugenia Mylona, Charalampos N. Kalantzopoulos, Nikolaos S. Tachos, Nikos Tsiknakis, George K. Matsopoulos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-02-01
Series:	Bioengineering
Assuntos:	prostate cancer radiomics MRI artificial intelligence automated machine learning framework AutoML
Acceso en liña:	https://www.mdpi.com/2306-5354/12/3/242
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