Real-time detection of steel corrosion defects using semantic and instance segmentation models based on deep learning

JOURNAL ARTICLE

Year: 2025 Journal: Materials Today Communications Vol: 44 Pages: 112050-112050 Publisher: Elsevier BV

DOI: 10.1016/j.mtcomm.2025.112050

Keywords:

Materials science Segmentation Corrosion Deep learning Artificial intelligence Pattern recognition (psychology) Metallurgy Computer science

Metrics

Cited By

7.19

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Non-Destructive Testing Techniques

Physical Sciences → Engineering → Mechanical Engineering