Semi-Supervised Segmentation Framework for Quantitative Analysis of Material Microstructure Images

Computers, materials & continua/Computers, materials & continua (Print) 2026 Open access

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Authors: Yingli Liu, Weiyong Tang, Xiao Yang, Jiancheng Yin, Haihe Zhou
DOI: 10.32604/cmc.2026.074681
Cited by: 0

Abstract

Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis methods rely on manual segmentation, which is inefficient and subjectiv... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Medical Image Segmentation Techniques Advanced Neural Network Applications Machine Learning in Materials Science

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
1
Pages
1–10
Publication date
1 January 2026
Language
EN