Article

Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning

2023-02-28

Abstract excerpt

For patients with acute ischemic stroke, histological quantification of thrombus composition provides evidence for determining appropriate treatment. However, the traditional manual segmentation of stained thrombi is laborious and inconsistent. In this study, we propose a label-free method that combines optical diffraction tomography (ODT) and deep learning (DL) to automate the histological quantification process....

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Literature Corpus work: e3422d9c-bcda-5658-8526-feb3adb98d8f
DOI: 10.22541/au.167756703.38845766/v1

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