Tag: BMC Medical Imaging

Researchers in India combined EfficientNet-B0 and a transformer encoder to classify Alzheimer's disease from multi-slice MRI scans, achieving 88 percent ...

A two-center study shows that radiomic analysis of MR cytometry parameter maps outperforms mean-value-based diffusion MRI metrics for distinguishing benign ...

A multicenter study shows that an explainable machine learning model combining cardiac CT angiography features with clinical data can predict ...

Researchers in China have developed an exploratory AI framework that combines DWI lesion features, SWI-derived deep medullary vein markers, and ...

Researchers have used conditional generative diffusion models to complete truncated X-ray projection data, substantially reducing artifacts in cone-beam CT reconstructions.

A head-to-head study of 155 patients found coronary CT angiography detected nearly all significant coronary blockages with 96 percent sensitivity, ...

Researchers have externally validated an automated pipeline that measures paraspinal muscle size and fat content at the L3-L4 level on ...

Researchers trained machine learning models on routine multiphasic CT scans to distinguish adrenal metastases from lipid-poor adenomas with over 90 ...

A retrospective PET/CT study of thirty treatment-naïve patients found that non-seminomatous testicular germ cell tumours show roughly twice the glucose ...

A new meta-analysis of 18 studies finds that AI models analyzing preoperative MRI, CT, and PET scans can predict lymphovascular ...