Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach.

Nazanin MobiniMarina CodariFrancesca RivaMaria Giovanna IencoDavide CapraAndrea CozziSerena CarrieroDiana SpinelliRubina Manuela TrimboliGiuseppe BaselliFrancesco Sardanelli

Published in: European radiology (2023)

• We implemented a deep convolutional neural network (CNN) for BAC detection and quantification. • Our CNN had an area under the receiving operator curve of 0.95 for BAC detection in the test set composed of 916 views, 94 of which were BAC+ . • Furthermore, our CNN showed a strong correlation with manual BAC measurements (ρ = 0.88) in a set of 112 views.

Keyphrases

convolutional neural network
deep learning
loop mediated isothermal amplification
real time pcr
label free
artificial intelligence
machine learning
sensitive detection