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SegMed: An Open-Source Desktop Tool for Deploying Pretrained Deep Learning Models in 3D Medical Image Segmentation.

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Bibliographic Details
Title: SegMed: An Open-Source Desktop Tool for Deploying Pretrained Deep Learning Models in 3D Medical Image Segmentation.
Authors: Mortada, Mhd Jafar1, Sbrollini, Agnese1,2, Proniewska-van Dam, Klaudia2,3, Dam, Peter M. Van1,3, Burattini, Laura1,2, l.burattini@univpm.it
Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3490, 17p
Database: Applied Science & Technology Source
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  Data: SegMed: An Open-Source Desktop Tool for Deploying Pretrained Deep Learning Models in 3D Medical Image Segmentation.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192959833
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        Value: 10.3390/app16073490
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        Text: English
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      – TitleFull: SegMed: An Open-Source Desktop Tool for Deploying Pretrained Deep Learning Models in 3D Medical Image Segmentation.
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              Text: Apr2026
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              Y: 2026
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