非负矩阵分解在动态细胞成像中的盲源分离应用于乳腺癌活检

D. Mandache, E. B. Á. L. Guillaume, J. Olivo-Marin, V. Meas-Yedid
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引用次数: 1

摘要

我们提出了一种方法来充分利用最近开发的非侵入性成像方式产生的动态信号:基于全场光学相干断层成像的动态细胞成像,以实现快速的即时组织评估。非负矩阵分解方法以可解释和可量化的方式提取来自乳腺组织不同结构的信号,以表征癌组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind Source Separation In Dynamic Cell Imaging Using Non-Negative Matrix Factorization Applied To Breast Cancer Biopsies
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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