Accurate segmentation of localized corrosion in structural alloys via deep learning
Abstract This study presents a deep learning-based approach for the automated segmentation of corrosion damage in scanning electron microscopy (SEM) images. The proposed method enables rapid and accurate segmentation of corrosion features in these SEM images, making it highly suitable for real-time...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-025-00633-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|