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Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.

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Title: Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.
Authors: Church S; Department of Computer Sciences, University of WI-Madison, Madison, WI, USA. sdchurch@wisc.edu., Warner JD; Department of Radiology, University of WI-Madison, Madison, WI, USA., Maqbool D; Department of Computer Sciences, University of WI-Madison, Madison, WI, USA., Tie X; Department of Radiology, University of WI-Madison, Madison, WI, USA., Hu J; Department of Computer Sciences, University of WI-Madison, Madison, WI, USA., Lubner MG; Department of Radiology, University of WI-Madison, Madison, WI, USA., Bradshaw TJ; Department of Radiology, University of WI-Madison, Madison, WI, USA.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Jul 07. Date of Electronic Publication: 2026 Jul 07.
Publication Type: 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: Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Church+S%22">Church S</searchLink>; Department of Computer Sciences, University of WI-Madison, Madison, WI, USA. sdchurch@wisc.edu.<br /><searchLink fieldCode="AU" term="%22Warner+JD%22">Warner JD</searchLink>; Department of Radiology, University of WI-Madison, Madison, WI, USA.<br /><searchLink fieldCode="AU" term="%22Maqbool+D%22">Maqbool D</searchLink>; Department of Computer Sciences, University of WI-Madison, Madison, WI, USA.<br /><searchLink fieldCode="AU" term="%22Tie+X%22">Tie X</searchLink>; Department of Radiology, University of WI-Madison, Madison, WI, USA.<br /><searchLink fieldCode="AU" term="%22Hu+J%22">Hu J</searchLink>; Department of Computer Sciences, University of WI-Madison, Madison, WI, USA.<br /><searchLink fieldCode="AU" term="%22Lubner+MG%22">Lubner MG</searchLink>; Department of Radiology, University of WI-Madison, Madison, WI, USA.<br /><searchLink fieldCode="AU" term="%22Bradshaw+TJ%22">Bradshaw TJ</searchLink>; Department of Radiology, University of WI-Madison, Madison, WI, USA.
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  Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2026 Jul 07. <i>Date of Electronic Publication: </i>2026 Jul 07.
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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/s10278-026-02097-6
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        Text: English
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      – TitleFull: Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.
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            – D: 07
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              Text: 2026 Jul 07
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              Y: 2026
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