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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports.

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Title: Targeted generative data augmentation for automatic metastases detection from free-text radiology reports.
Authors: Ashofteh Barabadi M; Ingenuity Labs Research Institute, Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada., Zhu X; Ingenuity Labs Research Institute, Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada., Chan WY; Ingenuity Labs Research Institute, Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada., Simpson AL; School of Computing and Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada., Do RKG; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Source: Frontiers in artificial intelligence [Front Artif Intell] 2025 Feb 06; Vol. 8, pp. 1513674. Date of Electronic Publication: 2025 Feb 06 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ashofteh+Barabadi+M%22">Ashofteh Barabadi M</searchLink>; Ingenuity Labs Research Institute, Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Zhu+X%22">Zhu X</searchLink>; Ingenuity Labs Research Institute, Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Chan+WY%22">Chan WY</searchLink>; Ingenuity Labs Research Institute, Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Simpson+AL%22">Simpson AL</searchLink>; School of Computing and Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Do+RKG%22">Do RKG</searchLink>; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101770551 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2624-8212 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226248212%22">26248212 </searchLink><i>NLM ISO Abbreviation: </i>Front Artif Intell <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/frai.2025.1513674
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        Text: English
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              Text: 2025 Feb 06
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