A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke

CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119
Source: Journal of X-Ray Science and Technology - Category: Radiology Authors: Source Type: research