SFCF-Net: Spatial-Frequency Synergistic Learning for Casting Defect Segmentation of Pre-Service Aircraft Engine Blades in Industrial Radiographic Inspection.
- DOI
- 10.3390/s26051416
- Published
- 2026 Feb 24
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26051416,
title = {SFCF-Net: Spatial-Frequency Synergistic Learning for Casting Defect Segmentation of Pre-Service Aircraft Engine Blades in Industrial Radiographic Inspection.},
author = {Wang S and Sun Z and Fang X and Cheng D},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26051416},
url = {https://doi.org/10.3390/s26051416}
}RIS
TY - JOUR TI - SFCF-Net: Spatial-Frequency Synergistic Learning for Casting Defect Segmentation of Pre-Service Aircraft Engine Blades in Industrial Radiographic Inspection. AU - Wang S AU - Sun Z AU - Fang X AU - Cheng D PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26051416 UR - https://doi.org/10.3390/s26051416 ER -
APA
S, W., Z, S., X, F., & D, C. (2026). SFCF-Net: Spatial-Frequency Synergistic Learning for Casting Defect Segmentation of Pre-Service Aircraft Engine Blades in Industrial Radiographic Inspection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26051416
Source records
- pubmed · retrieved 2026-09-26T14:54:40.441Z