AI Framework Reads Lung Tumors With Unusual Precision on CT Scans
A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung ...
A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung ...
A CT-based measure of spatial intratumoural heterogeneity is strongly associated with KRAS mutation status in lung adenocarcinoma, but a rigorous ...
A multicenter Chinese study shows that a machine-learning radiomics model built from routine non-contrast CT scans, combined with clinical features, ...
When a routine chest scan reveals a solid nodule deep in the lung, patients and their doctors face one of ...
A systematic review of 284 studies maps how AI is transforming breast cancer imaging, from CNN detection and foundation-model segmentation ...
A new study shows that AI-generated synthetic contrast-enhanced brain MRI images achieve impressive quality metrics but still miss critical enhancement ...
A new systematic review and meta-analysis finds that pre-treatment PET/CT radiomics outperforms post-treatment imaging for predicting pathological complete response in ...
A CT-based multimodal radiogenomic model combining tumor imaging, perirenal fat features, and genetic data outperformed conventional risk stratification for clear ...
A systematic review finds that quantitative bone SPECT/CT can objectively measure skeletal radiotracer uptake for cancer and benign disease, but ...
A new multimodal ultrasound nomogram distinguishes granulomatous lobular mastitis from invasive ductal carcinoma with a validation AUC of 0.978, though ...
Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm Follow' to start subscribing.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine