Gewählte Publikation:
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Feng, S; Azzollini, D; Kim, JS; Jin, CK; Gordon, SP; Yeoh, J; Kim, E; Han, M; Lee, A; Patel, A; Wu, J; Urschler, M; Fong, A; Simmers, C; Tarr, GP; Barnard, S; Wilson, B.
Curation of the CANDID-PTX Dataset with Free-Text Reports.
Radiol Artif Intell. 2021; 3(6): e210136
Doi: 10.1148/ryai.2021210136
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- Co-Autor*innen der Med Uni Graz
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Urschler Martin
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- Abstract:
- Supplemental material is available for this article. Keywords: Conventional Radiography, Thorax, Trauma, Ribs, Catheters, Segmentation, Diagnosis, Classification, Supervised Learning, Machine Learning © RSNA, 2021.
- Find related publications in this database (Keywords)
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Conventional Radiography
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Thorax
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Trauma
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Ribs
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Catheters
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Segmentation
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Diagnosis
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Classification
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Supervised Learning
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Machine Learning