Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences ; volume:15 ; number:1 ; day:4 ; month:11 ; year:2024 ; pages:1-16 ; date:12.2024
Insights into imaging ; 15, Heft 1 (4.11.2024), 1-16, 12.2024
- Urheber
-
Mylona, Eugenia
Zaridis, Dimitrios I.
Kalantzopoulos, Charalampos Ν
Tachos, Nikolaos S.
Regge, Daniele
Papanikolaou, Nikolaos
Tsiknakis, Manolis
Marias, Kostas
Fotiadis, Dimitrios I.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13244-024-01783-9
- URN
-
urn:nbn:de:101:1-2501222114553.175572974881
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:39 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mylona, Eugenia
- Zaridis, Dimitrios I.
- Kalantzopoulos, Charalampos Ν
- Tachos, Nikolaos S.
- Regge, Daniele
- Papanikolaou, Nikolaos
- Tsiknakis, Manolis
- Marias, Kostas
- Fotiadis, Dimitrios I.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Waterfall Traffic Classification: A Quick Approach to Optimizing Cascade Classifiers
Repeatability of Multiparametric Prostate MRI Radiomics Features
Optimizing measurements sequences for quantum state verification
Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers
Modelling Treatment Sequences in Immunology: Optimizing Patient Outcomes
Specific Classifiers.
Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases
Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features
Classifiers in Korean
Hierarchical quantum classifiers
Individual-denoting classifiers
Transcriptional network classifiers
Waterfall Traffic Classification: A Quick Approach to Optimizing Cascade Classifiers
Repeatability of Multiparametric Prostate MRI Radiomics Features
Optimizing measurements sequences for quantum state verification
Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers
Modelling Treatment Sequences in Immunology: Optimizing Patient Outcomes
Specific Classifiers.
Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases
Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features
Classifiers in Korean
Hierarchical quantum classifiers
Individual-denoting classifiers
Transcriptional network classifiers
Waterfall Traffic Classification: A Quick Approach to Optimizing Cascade Classifiers
Repeatability of Multiparametric Prostate MRI Radiomics Features
Optimizing measurements sequences for quantum state verification
Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers
Modelling Treatment Sequences in Immunology: Optimizing Patient Outcomes
Specific Classifiers.
Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases
Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features
Classifiers in Korean
Hierarchical quantum classifiers
Individual-denoting classifiers