One-Shot Segmentation of Battery Cells with Gradual Learning
Due to the growing importance of electric vehicles and battery energy storage systems, battery safety must be ensured during and after production. One aspect is the visualization of inner structures, which can be achieved by computed tomography (CT) as a non-destructive testing (NDT) method. Deep-l...
Saved in:
| Main Authors: | Johann Christopher Engster, Nele Blum, Laura Hellwege, Thorsten M. Buzug, Maik Stille |
|---|---|
| Format: | Article |
| Language: | deu |
| Published: |
NDT.net
2025-02-01
|
| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30722 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artery segmentation and atherosclerotic plaque quantification using AI for murine whole slide images stained with oil red O
by: Johann Christopher Engster, et al.
Published: (2025-04-01) -
A Gradual Adversarial Training Method for Semantic Segmentation
by: Yinkai Zan, et al.
Published: (2024-11-01) -
Dual-model approach for one-shot lithium-ion battery state of health sequence prediction
by: Slimane Arbaoui, et al.
Published: (2024-12-01) -
One-shot federated learning with self-adversarial data
by: Anastasiya Danilenka, et al.
Published: (2023-09-01) -
The gradual loss of vision
by: N. du Toit
Published: (2013-12-01)