Head-to-Head Test Shows Deep Learning Beats Classic Models Only on Breast Cancer Images
An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...
An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...
Researchers at Heidelberg University Hospital developed a machine learning model combining ultrasound, mammography, MRI and clinical data to predict pathological ...
A retrospective ultrasound study of 104 salivary gland tumors shows that irregular calcifications are the strongest independent predictor of malignancy, ...
A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...
A new multi-task AI framework called TAZD-Net segments thyroid nodules and predicts malignancy by explicitly reasoning over the lesion, its ...
A prospective study of eighteen patients with morphea found that ultrasound-measured dermal thickness significantly decreased with treatment, positioning high-frequency ultrasound ...
A multicenter study shows a deep learning model called GobletNet can segment and classify parotid gland tumors on ultrasound with ...
Professor Paolo Tomà, a pioneering Italian paediatric radiologist who led imaging departments in Genoa and Rome and shaped radiation protection ...
A new ultrasound-based index summing ossification ratios of the distal radius, distal ulna, and proximal radius correlates with X-ray bone ...
A retrospective study of 75 patients found that most medullary thyroid microcarcinomas grew during delayed surgery, with larger tumors linked ...
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© 2025 Scienmag - Science Magazine