Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study ; volume:7 ; number:1 ; day:7 ; month:6 ; year:2023 ; pages:1-12 ; date:12.2023
European radiology experimental ; 7, Heft 1 (7.6.2023), 1-12, 12.2023
- Urheber
-
Burger, Bianca
Bernathova, Maria
Seeböck, Philipp
Singer, Christian F.
Helbich, Thomas H.
Langs, Georg
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s41747-023-00343-y
- URN
-
urn:nbn:de:101:1-2023091108381102425946
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 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
- Burger, Bianca
- Bernathova, Maria
- Seeböck, Philipp
- Singer, Christian F.
- Helbich, Thomas H.
- Langs, Georg
- SpringerLink (Online service)
Ähnliche Objekte (12)
New Approaches to Predicting Cluster Emergence
Brain hubs in lesion models: Predicting functional network topology with lesion patterns in patients
Predicting the emergence of drug-resistant HSV-2: new predictions
Safety, tolerability and feasibility of adenosine stress CMR in high-risk patients
Risk factors predicting residual lesion in subsequent hysterectomy following cold knife conization (CKC) for high-grade squamous intraepithelial lesion (HSIL)
Predicting high-risk pre-capillary pulmonary hypertension: an echocardiographic multiparameter scoring index
Are prolactin levels efficient in predicting a pituitary lesion in patients with hyperprolactinemia?
Multiphase CT angiography perfusion maps for predicting target mismatch and ischemic lesion volumes
Predicting the Emergence of Localised Dihedral Patterns in Models for Dryland Vegetation
The feasibility of MR elastography with transpelvic vibration for localization of focal prostate lesion
Cuarta lesión
Segunda lesión
New Approaches to Predicting Cluster Emergence
Brain hubs in lesion models: Predicting functional network topology with lesion patterns in patients
Predicting the emergence of drug-resistant HSV-2: new predictions
Safety, tolerability and feasibility of adenosine stress CMR in high-risk patients
Risk factors predicting residual lesion in subsequent hysterectomy following cold knife conization (CKC) for high-grade squamous intraepithelial lesion (HSIL)
Predicting high-risk pre-capillary pulmonary hypertension: an echocardiographic multiparameter scoring index
Are prolactin levels efficient in predicting a pituitary lesion in patients with hyperprolactinemia?
Multiphase CT angiography perfusion maps for predicting target mismatch and ischemic lesion volumes
Predicting the Emergence of Localised Dihedral Patterns in Models for Dryland Vegetation
The feasibility of MR elastography with transpelvic vibration for localization of focal prostate lesion
Cuarta lesión
Segunda lesión
New Approaches to Predicting Cluster Emergence
Brain hubs in lesion models: Predicting functional network topology with lesion patterns in patients
Predicting the emergence of drug-resistant HSV-2: new predictions
Safety, tolerability and feasibility of adenosine stress CMR in high-risk patients
Risk factors predicting residual lesion in subsequent hysterectomy following cold knife conization (CKC) for high-grade squamous intraepithelial lesion (HSIL)
Predicting high-risk pre-capillary pulmonary hypertension: an echocardiographic multiparameter scoring index
Are prolactin levels efficient in predicting a pituitary lesion in patients with hyperprolactinemia?
Multiphase CT angiography perfusion maps for predicting target mismatch and ischemic lesion volumes
Predicting the Emergence of Localised Dihedral Patterns in Models for Dryland Vegetation
The feasibility of MR elastography with transpelvic vibration for localization of focal prostate lesion
Cuarta lesión