Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning.

Jules Scholler Diana MandacheMarie Christine MathieuAïcha Ben LakhdarMarie DarcheTual MonfortClaude BoccaraJean-Christophe Olivo-MarinKate GrieveVannary Meas-YedidEmilie Benoit A la GuillaumeOlivier Thouvenin

Published in: Journal of medical imaging (Bellingham, Wash.) (2023)

Altogether, these results demonstrate the high potential of D-FF-OCT coupled to machine learning to provide a rapid, automatic, and accurate histopathology diagnosis with minimal sample alteration.

Keyphrases

machine learning
deep learning
artificial intelligence
big data
optical coherence tomography
diabetic retinopathy
high resolution
loop mediated isothermal amplification
optic nerve
mass spectrometry