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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences.

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Title: Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences.
Authors: Mylona, Eugenia1,2,3 (AUTHOR), Zaridis, Dimitrios I.1,2,4 (AUTHOR), Kalantzopoulos, Charalampos Ν.1,2 (AUTHOR), Tachos, Nikolaos S.1,2,3 (AUTHOR), Regge, Daniele5,6 (AUTHOR), Papanikolaou, Nikolaos7,8 (AUTHOR), Tsiknakis, Manolis9,10 (AUTHOR), Marias, Kostas9,10 (AUTHOR), Zaridis, Dimitris3 (AUTHOR), Kalantzopoulos, Charalampos3 (AUTHOR), Fotiadis, Dimitris3 (AUTHOR), Sfakianakis, Stelios9 (AUTHOR), Kalokyri, Varvara9 (AUTHOR), Trivizakis, Eleftherios9 (AUTHOR), Kalliatakis, Grigorios9 (AUTHOR), Dimitriadis, Avtantil9 (AUTHOR), de Almeida, José Guilherme8 (AUTHOR), Verde, Ana Castro8 (AUTHOR), Rodrigues, Ana Carolina8 (AUTHOR), Rodrigues, Nuno8 (AUTHOR)
Source: Insights into Imaging. 11/4/2024, Vol. 15 Issue 1, p1-16. 16p.
Database: Academic Search Ultimate
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Description
ISSN:18694101
DOI:10.1186/s13244-024-01783-9