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. |
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| 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 |
| ISSN: | 2624-8212 |
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| DOI: | 10.3389/frai.2025.1513674 |
