Blind Source Separation in Dynamic Cell Imaging using NonNegative Matrix Factorization applied to Breast Cancer Biopsies

Published in International Symposium on Biomedical Imaging (ISBI), 2021

Recommended citation: D. Mandache, E. B. รก. l. Guillaume, J. . -C. Olivo-Marin and V. Meas-Yedid, "Blind Source Separation In Dynamic Cell Imaging Using Non-Negative Matrix Factorization Applied To Breast Cancer Biopsies," 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, pp. 1605-1608.

We propose a method to fully exploit the dynamic signal produced by a recently developed non-invasive imaging modality: Dynamic Cell Imaging based on Full Field Optical Coherence Tomography, towards fast extemporaneous tissue assessment. The non-negative matrix factorisation method is used in an interpretable and quantifiable fashion to extract the signals coming from different structures of breast tissue in order to characterize cancerous tissue. Download paper here

Check out the spotlight presentation

If this browser does not support PDFs. Please download the PDF to view it: Download PDF.