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. |
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| 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 |
| ISSN: | 1861-6429 |
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| DOI: | 10.1007/s11548-025-03422-0 |
