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Benchmarking Convolutional Neural Network Architectures for Multi-Phase Semantic Segmentation: Challenges in Resolving Widmanstätten Ferrite Within Ferritic–Pearlitic Matrices.

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Title: Benchmarking Convolutional Neural Network Architectures for Multi-Phase Semantic Segmentation: Challenges in Resolving Widmanstätten Ferrite Within Ferritic–Pearlitic Matrices.
Authors: Backofen, Fritz1, backofen@hs-mittweida.de, Hockauf, Kristin1,2, Halle, Thorsten1,2
Source: Metals (2075-4701); Jul2026, Vol. 16 Issue 7, p726, 29p
Database: Applied Science & Technology Source
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        Value: 10.3390/met16070726
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      – Code: eng
        Text: English
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      – TitleFull: Benchmarking Convolutional Neural Network Architectures for Multi-Phase Semantic Segmentation: Challenges in Resolving Widmanstätten Ferrite Within Ferritic–Pearlitic Matrices.
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              Text: Jul2026
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