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. |
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| 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 |
| ISSN: | 2948-2933 |
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| DOI: | 10.1007/s10278-026-02097-6 |
