Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor

M Turhon, M Li, H Kang, J Huang, F Zhang, Y Zhang… - European …, 2023 - Springer
Objective The clinical ability of radiomics to predict intracranial aneurysm rupture risk
remains unexplored. This study aims to investigate the potential uses of radiomics and …
被引用次数：14 相关文章

Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor.

M Turhon, M Li, H Kang, J Huang… - European …, 2023 - search.ebscohost.com
Objective: The clinical ability of radiomics to predict intracranial aneurysm rupture risk
remains unexplored. This study aims to investigate the potential uses of radiomics and …

Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor

M Turhon, M Li, H Kang, J Huang… - European …, 2023 - pubmed.ncbi.nlm.nih.gov
Objective The clinical ability of radiomics to predict intracranial aneurysm rupture risk
remains unexplored. This study aims to investigate the potential uses of radiomics and …

Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor.

M Turhon, M Li, H Kang, J Huang, F Zhang… - European …, 2023 - europepmc.org
Objective The clinical ability of radiomics to predict intracranial aneurysm rupture risk
remains unexplored. This study aims to investigate the potential uses of radiomics and …

Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor

M Turhon, M Li, H Kang, J Huang, F Zhang… - European Radiology …, 2023 - inis.iaea.org
[en] The clinical ability of radiomics to predict intracranial aneurysm rupture risk remains
unexplored. This study aims to investigate the potential uses of radiomics and explore …