Back to search

Article

A Two-Stage Deep Learning Framework for Automated Corrosion Detection and Severity Estimation in High-Resolution SEM Images

2026-01-27

Abstract excerpt

Accurate detection and severity estimation of corrosion on metallic surfaces is essential for maintaining material integrity and ensuring operational safety in industrial systems. To address limitations in manual inspection methods, this study presents a two-stage deep learning pipeline tailored for high-resolution scanning electron microscopy images. The framework combines instance-level corrosion segmentation us...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f012547d-5741-5773-8230-2f476efd282d
DOI
10.20944/preprints202601.1978.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Two-Stage Deep Learning Framework for Automated Corrosion Detection and Severity Estimation in High-Resolution SEM ImagesDOI 10.20944/preprints202601.1978.v1
Select a neighboring publication to make it the new centre.