Machine learning assisted reflectance spectral characterisation of coronary thrombi correlates with microvascular injury in patients with ST-segment elevation acute coronary syndrome
<strong>Aims: </strong>We set out to further develop reflectance spectroscopy for the characterisation and quantification of coronary thrombi. Additionally, we explore the potential of our approach for use as a risk stratification tool by exploring the relation of reflectance spectra to...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media
2022
|