AI-Powered CT Scan Model Distinguishes Pancreatic Tumors Before Surgery
A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from ...
A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from ...
A new deep-learning network called MFANet modestly outperformed leading models at segmenting liver tumors on CT scans even when some ...
A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast ...
A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine ...
A retrospective CEUS study of 87 benign liver necrotic nodules identifies distinctive ultrasound features, including tortuous morphology and thick enhancing ...
An exploratory MRI study used arterial spin labeling at two post-labeling delays to track cerebral blood flow estimates in healthy ...
A five-year audit of 1,443 procedures at Chris Hani Baragwanath Academic Hospital shows that drainage and decompression dominated the body ...
A Mamba-CNN deep learning framework analyzing brain scans from 1,175 participants detects autism with 87.49% accuracy and reveals novel gray ...
A meta-analysis of 40 studies covering 12,769 patients shows that radiomics-based models combining CT image features with clinical data can ...
Researchers in the Czech Republic have built a generative adversarial network that creates synthetic breast ultrasound images to train a ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine