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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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https://hal-pasteur.archives-ouvertes.fr/pasteur-03721558
Contributor : Vannary Meas-Yedid Connect in order to contact the contributor
Submitted on : Tuesday, July 12, 2022 - 5:08:10 PM
Last modification on : Saturday, July 16, 2022 - 3:49:40 AM

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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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