A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method ; volume:21 ; number:8 ; day:16 ; month:9 ; year:2020 ; pages:1-14 ; date:9.2020
BMC bioinformatics ; 21, Heft 8 (16.9.2020), 1-14, 9.2020
- Urheber
-
Stefano, Alessandro
Comelli, Albert
Bravatà, Valentina
Barone, Stefano
Daskalovski, Igor
Savoca, Gaetano
Sabini, Maria Gabriella
Ippolito, Massimo
Russo, Giorgio
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-020-03647-7
- URN
-
urn:nbn:de:101:1-2020110518180864579877
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 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
- Stefano, Alessandro
- Comelli, Albert
- Bravatà, Valentina
- Barone, Stefano
- Daskalovski, Igor
- Savoca, Gaetano
- Sabini, Maria Gabriella
- Ippolito, Massimo
- Russo, Giorgio
- SpringerLink (Online service)
Ähnliche Objekte (12)
Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning
Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study
Fully Convolutional Networks for Image Segmentation
Pet/mri radiomics in patients with brain metastases
Radiomics of liver MRI predict metastases in mice
Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
Anatomical Priors for Fully Automated Medical Image Segmentation
A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
Fully automated condyle segmentation using 3D convolutional neural networks
Fully automated landmarking and facial segmentation on 3D photographs
Fully automatic wound segmentation with deep convolutional neural networks
Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning
Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study
Fully Convolutional Networks for Image Segmentation
Pet/mri radiomics in patients with brain metastases
Radiomics of liver MRI predict metastases in mice
Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
Anatomical Priors for Fully Automated Medical Image Segmentation
A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
Fully automated condyle segmentation using 3D convolutional neural networks
Fully automated landmarking and facial segmentation on 3D photographs
Fully automatic wound segmentation with deep convolutional neural networks
Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning
Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study
Fully Convolutional Networks for Image Segmentation
Pet/mri radiomics in patients with brain metastases
Radiomics of liver MRI predict metastases in mice
Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
Anatomical Priors for Fully Automated Medical Image Segmentation
A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
Fully automated condyle segmentation using 3D convolutional neural networks
Fully automated landmarking and facial segmentation on 3D photographs