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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Detalles Bibliográficos
Autor principal: Hegdé, Jay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Special Section on Medical Image Perception and Observer Performance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998757/
https://www.ncbi.nlm.nih.gov/pubmed/32042860
http://dx.doi.org/10.1117/1.JMI.7.2.022410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998757/
https://www.ncbi.nlm.nih.gov/pubmed/32042860
http://dx.doi.org/10.1117/1.JMI.7.2.022410

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