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
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.
Recommended citation: D. Mandache, E. B. á. 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. https://doi.org/10.1109/ISBI48211.2021.9434128