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Robustness Comparison of Traditional and Deep Learning-Based Image Segmentation Models on Noisy Images.

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Title: Robustness Comparison of Traditional and Deep Learning-Based Image Segmentation Models on Noisy Images.
Authors: Bhadauria, Dharmendra1, dharmendrabhadauria77@gmail.com, Bhardwaj, Arun1, arunbhardwaj12p@gmail.com, Singh, Kalyani2, kalyani.singh@galgotiasuniversity.edu.in, Hashmi, S. M. Aqdas1, aqdas.hashmii@gmail.com
Source: International Scientific Journal of Engineering & Management; May2025, Vol. 4 Issue 5, p1-11, 11p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Scientific+Journal+of+Engineering+%26+Management%22">International Scientific Journal of Engineering & Management</searchLink>; May2025, Vol. 4 Issue 5, p1-11, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185802097
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        Value: 10.55041/ISJEM03310
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        Text: English
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      – TitleFull: Robustness Comparison of Traditional and Deep Learning-Based Image Segmentation Models on Noisy Images.
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              Text: May2025
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