- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2509-9280
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
The effect of preprocessing filters on predictive performance in radiomics ; volume:6 ; number:1 ; day:1 ; month:9 ; year:2022 ; pages:1-10 ; date:12.2022
European radiology experimental ; 6, Heft 1 (1.9.2022), 1-10, 12.2022
- Creator
-
Demircioğlu, Aydin
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s41747-022-00294-w
- URN
-
urn:nbn:de:101:1-2022101719081795026617
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Demircioğlu, Aydin
- SpringerLink (Online service)
Other Objects (12)
On data-preprocessing for effective predictive maintenance on multi-purpose machines
Data preprocessing impact on machine learning algorithm performance
Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts
FastqPuri: high-performance preprocessing of RNA-seq data
The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features
Limits of Preprocessing
PF- MPC: Particle Filter-Model Predictive Control
Improved Data Preprocessing Algorithm for Time-Domain Induced Polarization Method with Digital Notch Filter
Preprocessing Maximum Flow Algorithms
Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer
Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome
On data-preprocessing for effective predictive maintenance on multi-purpose machines
Data preprocessing impact on machine learning algorithm performance
Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts
FastqPuri: high-performance preprocessing of RNA-seq data
The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features
Limits of Preprocessing
PF- MPC: Particle Filter-Model Predictive Control
Improved Data Preprocessing Algorithm for Time-Domain Induced Polarization Method with Digital Notch Filter
Preprocessing Maximum Flow Algorithms
Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer
Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome
On data-preprocessing for effective predictive maintenance on multi-purpose machines
Data preprocessing impact on machine learning algorithm performance
Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts
FastqPuri: high-performance preprocessing of RNA-seq data
The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features
Limits of Preprocessing
PF- MPC: Particle Filter-Model Predictive Control
Improved Data Preprocessing Algorithm for Time-Domain Induced Polarization Method with Digital Notch Filter
Preprocessing Maximum Flow Algorithms
Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer
Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma