Qualitative classification of thrombus images as a way to improve quantitative analysis of thrombus formation in flow chamber assays.

Published in: PloS one (2024)

Classification of thrombi enabled by machine learning increases the relevance of quantitative information and allows better evaluation of the results of in vitro thrombosis assays.

Keyphrases

machine learning
deep learning
artificial intelligence
high throughput
convolutional neural network
big data
pulmonary embolism
systematic review
health information
social media
mass spectrometry