Deep Learning Breast DWI Preferred in Retrospective Imaging Study
A retrospective study of 77 breast cancer cases found that single-shot breast diffusion-weighted MRI with deep learning reconstruction received higher ...
A retrospective study of 77 breast cancer cases found that single-shot breast diffusion-weighted MRI with deep learning reconstruction received higher ...
A retrospective study of 353 acute ischemic stroke patients linked clinical scores and MRI diffusion, perfusion and microbleed measurements with ...
A prospective study shows that amide proton transfer-weighted MRI can noninvasively distinguish lung adenocarcinoma from lung squamous cell carcinoma in ...
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
A new study suggests that the shape of postoperative DWI lesions after eloquent-area glioma surgery may help predict which patients ...
A 3D multi-scale convolutional neural network developed in Taiwan accurately segments and quantifies acute ischemic stroke lesions on diffusion-weighted MRI ...
A cross-sectional study of 94 patients links visually assessed putaminal MRI markers to contralateral parkinsonian motor severity in multiple system ...
A new study of 70 gastric cancer patients finds that Zoom-DWI sharply improves tumor boundary visibility but systematically underestimates ADC ...
A multicenter study shows that a machine learning model combining features from three MRI sequences can non-invasively distinguish luminal A ...
Researchers in China have developed an exploratory AI framework that combines DWI lesion features, SWI-derived deep medullary vein markers, and ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine