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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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Библиографические подробности
Опубликовано в: :J Med Imaging (Bellingham)
Главный автор: Hegdé, Jay
Формат: Artigo
Язык:Inglês
Опубликовано: Society of Photo-Optical Instrumentation Engineers 2020
Предметы:
Online-ссылка: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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