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Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle study
The scientific, clinical, and pedagogical significance of devising methodologies to train nonprofessional subjects to recognize diagnostic visual patterns in medical images has been broadly recognized. However, systematic approaches to doing so remain poorly established. Using mammography as an exem...
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| Publicat a: | J Med Imaging (Bellingham) |
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| Autor principal: | |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6998757/ https://ncbi.nlm.nih.gov/pubmed/32042860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.2.022410 |
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