Molecular breast cancer subtype identification using photoacoustic spectral analysis and machine learning at the biomacromolecular level
Breast cancer threatens the health of women worldwide, and its molecular subtypes largely determine the therapy and prognosis of patients. However, an uncomplicated and accurate method to identify subtypes is currently lacking. This study utilized photoacoustic spectral analysis (PASA) based on the...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-04-01
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Series: | Photoacoustics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213597923000368 |