AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2051-5960
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study ; volume:11 ; number:1 ; day:14 ; month:1 ; year:2023 ; pages:1-12 ; date:12.2023
Acta Neuropathologica Communications ; 11, Heft 1 (14.1.2023), 1-12, 12.2023
- Urheber
-
Wang, Shuncong
Pang, Xin
Keyzer, Frederik de
Feng, Yuanbo
Swinnen, Johan V.
Yu, Jie
Ni, Yicheng
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40478-023-01509-w
- URN
-
urn:nbn:de:101:1-2023032321202412054098
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 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
- Wang, Shuncong
- Pang, Xin
- Keyzer, Frederik de
- Feng, Yuanbo
- Swinnen, Johan V.
- Yu, Jie
- Ni, Yicheng
- SpringerLink (Online service)
Ähnliche Objekte (12)
The belt and road initiative: domestic interests, bureaucratic politics and the EU-China relations
Highly-Skilled Migrants, gender, and well-being in the Eindhoven region: An intersectional analysis
Rational option of optimum parameters of robust design of hybrid of PMOO with sequential uniform algorithm
Study of optimization for material processing parameters by means of probabilistic methodology for multi-objective optimization
The serum IL-17A levels in patients with traumatic bowel rupture post-surgery and its predictive value for patient prognosis
A probabilistic multi-objective optimization mechanical design
Probabilistic approach for robust design with orthogonal experimental methodology in case of target the best
Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network
Technology State Control Based on Multi-source Heterogeneous Data Fusion in Manufacturing
Configurationally Stepping Confinement Achieved Tunable Chiral Near‐Infrared Luminescence Supramolecular Phenothiazine Organic Framework
The MCM3AP-AS1/miR-126/VEGF axis regulates cancer cell invasion and migration in endometrioid carcinoma
A multi-task learning-based generative adversarial network for red tide multivariate time series imputation
The belt and road initiative: domestic interests, bureaucratic politics and the EU-China relations
Highly-Skilled Migrants, gender, and well-being in the Eindhoven region: An intersectional analysis
Rational option of optimum parameters of robust design of hybrid of PMOO with sequential uniform algorithm
Study of optimization for material processing parameters by means of probabilistic methodology for multi-objective optimization
The serum IL-17A levels in patients with traumatic bowel rupture post-surgery and its predictive value for patient prognosis
A probabilistic multi-objective optimization mechanical design
Probabilistic approach for robust design with orthogonal experimental methodology in case of target the best
Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network
Technology State Control Based on Multi-source Heterogeneous Data Fusion in Manufacturing
Configurationally Stepping Confinement Achieved Tunable Chiral Near‐Infrared Luminescence Supramolecular Phenothiazine Organic Framework
The MCM3AP-AS1/miR-126/VEGF axis regulates cancer cell invasion and migration in endometrioid carcinoma
A multi-task learning-based generative adversarial network for red tide multivariate time series imputation
The belt and road initiative: domestic interests, bureaucratic politics and the EU-China relations
Highly-Skilled Migrants, gender, and well-being in the Eindhoven region: An intersectional analysis
Rational option of optimum parameters of robust design of hybrid of PMOO with sequential uniform algorithm
Study of optimization for material processing parameters by means of probabilistic methodology for multi-objective optimization
The serum IL-17A levels in patients with traumatic bowel rupture post-surgery and its predictive value for patient prognosis
A probabilistic multi-objective optimization mechanical design
Probabilistic approach for robust design with orthogonal experimental methodology in case of target the best
Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network
Technology State Control Based on Multi-source Heterogeneous Data Fusion in Manufacturing
Configurationally Stepping Confinement Achieved Tunable Chiral Near‐Infrared Luminescence Supramolecular Phenothiazine Organic Framework
The MCM3AP-AS1/miR-126/VEGF axis regulates cancer cell invasion and migration in endometrioid carcinoma