Rapid identification of breast cancer subtypes using micro-FTIR and machine learning methods

Breast cancer (BC) molecular subtypes diagnosis involves improving clinical uptake by Fourier transform infrared (FTIR) spectroscopic imaging, which is a non-destructive and powerful technique, enabling label free extraction of biochemical information towards prognostic stratification and evaluation...

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Veröffentlicht in:	Applied optics (2004) 2023-03, Vol.62 (8), p.C80-C87
Hauptverfasser:	Farooq, Sajid, Del-Valle, Matheus, Dos Santos, Moises Oliveira, Dos Santos, Sofia Nascimento, Bernardes, Emerson Soares, Zezell, Denise Maria
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Breast cancer Breast Neoplasms - diagnostic imaging Classification Data acquisition Female Fourier Analysis Fourier transforms Humans Image acquisition Image quality Infrared imaging Infrared spectroscopy Machine Learning Medical imaging Nondestructive testing Signal to noise ratio Spectroscopy, Fourier Transform Infrared Support Vector Machine Support vector machines
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