MRI analysis of tibial PCL attachment in a large population of adult patients: reference data for anatomic PCL reconstruction
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2474
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
MRI analysis of tibial PCL attachment in a large population of adult patients: reference data for anatomic PCL reconstruction ; volume:17 ; number:1 ; day:5 ; month:9 ; year:2016 ; pages:1-8 ; date:12.2016
BMC musculoskeletal disorders ; 17, Heft 1 (5.9.2016), 1-8, 12.2016
- Urheber
-
Teng, Yuanjun
- Beteiligte Personen und Organisationen
-
Guo, Laiwei
Wu, Meng
Xu, Tianen
Zhao, Lianggong
Jiang, Jin
Sheng, Xiaoyun
Xu, Lihu
Zhang, Bo
Ding, Ning
Xia, Yayi
SpringerLink (Online service)
- DOI
-
10.1186/s12891-016-1232-3
- URN
-
urn:nbn:de:1111-201610047874
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 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
- Teng, Yuanjun
- Guo, Laiwei
- Wu, Meng
- Xu, Tianen
- Zhao, Lianggong
- Jiang, Jin
- Sheng, Xiaoyun
- Xu, Lihu
- Zhang, Bo
- Ding, Ning
- Xia, Yayi
- SpringerLink (Online service)
Ähnliche Objekte (12)
Using adaptive learning rate to generate adversarial images
Robustness evaluation on different training state of a CNN model
PCL
PCL
PCL
PCL
PCL
PCL TGA
PCL" Paint
Generating adversarial images to monitor the training state of a CNN model
The Image flip effect on a CNN model classification
Generate adversarial images with gradient search
Using adaptive learning rate to generate adversarial images
Robustness evaluation on different training state of a CNN model
PCL
PCL
PCL
PCL
PCL
PCL TGA
PCL" Paint
Generating adversarial images to monitor the training state of a CNN model
The Image flip effect on a CNN model classification
Generate adversarial images with gradient search
Using adaptive learning rate to generate adversarial images
Robustness evaluation on different training state of a CNN model
PCL
PCL
PCL
PCL
PCL
PCL TGA
PCL" Paint
Generating adversarial images to monitor the training state of a CNN model
The Image flip effect on a CNN model classification