Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach

CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - Category: Radiology Authors: Source Type: research