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A probabilistic model to support radiologists’ classification decisions in mammography practice

We develop a probabilistic model to support the classification decisions made by radiologists in mammography practice. Using the feature observations and BI-RADs classifications from radiologists examining diagnostic and screening mammograms, we model their decisions in order to understand their jud...

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Bibliografiske detaljer
Udgivet i:Med Decis Making
Main Authors: Zeng, Jiaming, Gimenez, Francisco, Burnside, Elizabeth S., Rubin, Daniel L., Shachter, Ross
Format: Artigo
Sprog:Inglês
Udgivet: 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6529223/
https://ncbi.nlm.nih.gov/pubmed/30819048
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0272989X19832914
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