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Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images.

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Title: Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images.
Authors: Guo L; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, USA., Trujillo D; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63130, USA., Duncan JR; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63130, USA., Thomas MA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63130, USA. allant@wustl.edu.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2025 Nov; Vol. 20 (11), pp. 2345-2353. Date of Electronic Publication: 2025 May 26.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Guo+L%22">Guo L</searchLink>; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, USA.<br /><searchLink fieldCode="AU" term="%22Trujillo+D%22">Trujillo D</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63130, USA.<br /><searchLink fieldCode="AU" term="%22Duncan+JR%22">Duncan JR</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63130, USA.<br /><searchLink fieldCode="AU" term="%22Thomas+MA%22">Thomas MA</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63130, USA. allant@wustl.edu.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101499225 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1861-6429 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218616410%22">18616410 </searchLink><i>NLM ISO Abbreviation: </i>Int J Comput Assist Radiol Surg <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11548-025-03422-0
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              Text: 2025 Nov
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