Deep learning for collateral evaluation in ischemic stroke with imbalanced data.

Mumu AktarJonatan ReyesDonatella TampieriHassan RivazYiming XiaoMarta Kersten-Oertel

Published in: International journal of computer assisted radiology and surgery (2023)

An automatic and robust collateral assessment method that mitigates the issues with the small imbalanced dataset was developed. Computer-aided evaluation of collaterals can help decision-making of ischemic stroke treatment strategy in clinical settings.

Keyphrases

deep learning
decision making
atrial fibrillation
machine learning
artificial intelligence
electronic health record
convolutional neural network
big data