Author:
Joasil Arielle S.,Song Cho Diego M.,Jerome Manuel J.,Hibshoosh Hanina,Hendon Christine P.
Abstract
Identifying cancerous lesions in reconstructed optical coherence volumes using com-pressed sensing is imperative to deploying OCT to the clinical breast pathology workflow. We find that classification does not vary greatly with the sampling rate.