Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Artículo científico |
| Sprache: | en |
| Veröffentlicht: |
Universität Bern
2021
|
| Schlagworte: | |
| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=664472002002 https://www.redalyc.org/journal/6644/664472002002/ https://www.redalyc.org/journal/6644/664472002002/html/ https://www.redalyc.org/journal/6644/664472002002/664472002002.epub https://www.redalyc.org/journal/6644/664472002002/movil |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866813270388637696 |
|---|---|
| author | Pavic Matea |
| author_facet | Pavic Matea |
| contents | Radiomics in oncology -uncovering tumor phenotype from medical images: a short introduction Pavic Matea Janita E. van Timmeren Medicina Radiomics Image analysis Machine learning Prognostic modelling Clinical decision support system Radiomics is a promising method to quantify and describe the tumor phenotype on medical images. High numbers of image features are extracted from medical images and can be used within a clinical decision support system by integrating this data with clinical and pathological variables. Herein, we give a short introduction into this image analysis method and present an overview on the workflow. 2021 artículo científico 1663-618X https://www.redalyc.org/articulo.oa?id=664472002002 https://www.redalyc.org/journal/6644/664472002002/ https://www.redalyc.org/journal/6644/664472002002/html/ https://www.redalyc.org/journal/6644/664472002002/664472002002.epub https://www.redalyc.org/journal/6644/664472002002/movil en http://www.redalyc.org/revista.oa?id=6644 Journal of Radiation Oncology Informatics application/pdf Universität Bern Journal of Radiation Oncology Informatics (Suiza) Num.1 Vol.11 |
| format | Artículo científico |
| id | redalyc_664472002002 |
| language | en |
| publishDate | 2021 |
| publisher | Universität Bern |
| spellingShingle | Radiomics in oncology -uncovering tumor phenotype from medical images: a short introduction Pavic Matea Medicina Radiomics Image analysis Machine learning Prognostic modelling Clinical decision support system Radiomics in oncology -uncovering tumor phenotype from medical images: a short introduction Pavic Matea Janita E. van Timmeren Medicina Radiomics Image analysis Machine learning Prognostic modelling Clinical decision support system Radiomics is a promising method to quantify and describe the tumor phenotype on medical images. High numbers of image features are extracted from medical images and can be used within a clinical decision support system by integrating this data with clinical and pathological variables. Herein, we give a short introduction into this image analysis method and present an overview on the workflow. 2021 artículo científico 1663-618X https://www.redalyc.org/articulo.oa?id=664472002002 https://www.redalyc.org/journal/6644/664472002002/ https://www.redalyc.org/journal/6644/664472002002/html/ https://www.redalyc.org/journal/6644/664472002002/664472002002.epub https://www.redalyc.org/journal/6644/664472002002/movil en http://www.redalyc.org/revista.oa?id=6644 Journal of Radiation Oncology Informatics application/pdf Universität Bern Journal of Radiation Oncology Informatics (Suiza) Num.1 Vol.11 |
| title | Radiomics in oncology -uncovering tumor phenotype from medical images: a short introduction |
| topic | Medicina Radiomics Image analysis Machine learning Prognostic modelling Clinical decision support system |
| url | https://www.redalyc.org/articulo.oa?id=664472002002 https://www.redalyc.org/journal/6644/664472002002/ https://www.redalyc.org/journal/6644/664472002002/html/ https://www.redalyc.org/journal/6644/664472002002/664472002002.epub https://www.redalyc.org/journal/6644/664472002002/movil |