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In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

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Title: In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.
Authors: Alfaro Vergara C; Department of Medical Technology, Faculty of Health Sciences, Universidad de Tarapacá, Arica, Chile. calfarov@academicos.uta.cl.; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. calfarov@academicos.uta.cl., Araya Caro N; Department of Computer Sciences, Faculty of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile., Mery Quiroz D; Department of Computer Sciences, Faculty of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering i-Health, Santiago, Chile., Prieto Vasquez C; Millennium Institute for Intelligent Healthcare Engineering i-Health, Santiago, Chile.; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1519-1535. Date of Electronic Publication: 2025 Aug 04.
Publication Type: Comparative Study; Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Alfaro+Vergara+C%22">Alfaro Vergara C</searchLink>; Department of Medical Technology, Faculty of Health Sciences, Universidad de Tarapacá, Arica, Chile. calfarov@academicos.uta.cl.; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. calfarov@academicos.uta.cl.<br /><searchLink fieldCode="AU" term="%22Araya+Caro+N%22">Araya Caro N</searchLink>; Department of Computer Sciences, Faculty of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.<br /><searchLink fieldCode="AU" term="%22Mery+Quiroz+D%22">Mery Quiroz D</searchLink>; Department of Computer Sciences, Faculty of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.; Millennium Institute for Intelligent Healthcare Engineering i-Health, Santiago, Chile.<br /><searchLink fieldCode="AU" term="%22Prieto+Vasquez+C%22">Prieto Vasquez C</searchLink>; Millennium Institute for Intelligent Healthcare Engineering i-Health, Santiago, Chile.; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
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  Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1519-1535. <i>Date of Electronic Publication: </i>2025 Aug 04.
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  Data: Comparative Study; Journal Article
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918663679206676 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2948-2933 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229482925%22">29482925 </searchLink><i>NLM ISO Abbreviation: </i>J Imaging Inform Med <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1007/s10278-025-01626-z
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      – Code: eng
        Text: English
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      – TitleFull: In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.
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            NameFull: Alfaro Vergara C
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            NameFull: Araya Caro N
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            NameFull: Mery Quiroz D
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            – D: 01
              M: 04
              Text: 2026 Apr
              Type: published
              Y: 2026
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