Cargando…
Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters
Radiomics is an emerging field of image analysis with potential applications in patient risk stratification. This study developed and evaluated machine learning models using quantitative radiomic features extracted from multiparametric magnetic resonance imaging (mpMRI) to detect and classify prosta...
Autores principales: | Woźnicki, Piotr, Westhoff, Niklas, Huber, Thomas, Riffel, Philipp, Froelich, Matthias F., Gresser, Eva, von Hardenberg, Jost, Mühlberg, Alexander, Michel, Maurice Stephan, Schoenberg, Stefan O., Nörenberg, Dominik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407326/ https://www.ncbi.nlm.nih.gov/pubmed/32630787 http://dx.doi.org/10.3390/cancers12071767 |
Ejemplares similares
-
Influence of local aortic calcification on periaortic adipose tissue radiomics texture features—a primary analysis on PCCT
por: Tharmaseelan, Hishan, et al.
Publicado: (2022) -
Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT
por: Ayx, Isabelle, et al.
Publicado: (2022) -
Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score—First Results of a Photon-Counting CT
por: Ayx, Isabelle, et al.
Publicado: (2022) -
Identification of CT Imaging Phenotypes of Colorectal Liver Metastases from Radiomics Signatures—Towards Assessment of Interlesional Tumor Heterogeneity
por: Tharmaseelan, Hishan, et al.
Publicado: (2022) -
Periaortic adipose radiomics texture features associated with increased coronary calcium score—first results on a photon-counting-CT
por: Mundt, Peter, et al.
Publicado: (2023)