Blind Source Separation In Dynamic Cell Imaging Using Non-Negative Matrix Factorization Applied To Breast Cancer Biopsies - Institut Pasteur Access content directly
Conference Papers Year : 2021

Blind Source Separation In Dynamic Cell Imaging Using Non-Negative Matrix Factorization Applied To Breast Cancer Biopsies

Abstract

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.
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pasteur-03721558 , version 1 (12-07-2022)

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D. Mandache, E. Benoit a La Guillaume, J.-C. Olivo-Marin, 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), Apr 2021, Nice, France. pp.1605-1608, ⟨10.1109/ISBI48211.2021.9434128⟩. ⟨pasteur-03721558⟩
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