AI Spots Lung Cancer Hiding Behind a Veil of Pneumonia on CT Scans
Researchers have built an interpretable 2.5D deep learning model that fuses contrast-enhanced CT features with clinical variables to reliably distinguish ...
Researchers have built an interpretable 2.5D deep learning model that fuses contrast-enhanced CT features with clinical variables to reliably distinguish ...
A new deep learning framework called MedSegNet-AXU segments multiple sclerosis lesions from 3D MRI with a 98.58 percent Dice score ...
An exploratory study of 61 breast cancer patients found only weak, statistically fragile links between regional tumor immune-stromal composition and ...
A two-center study shows that an MRI-based radiomics nomogram using a multilayer perceptron classifier can distinguish malignant from benign orbital ...
Researchers in Guangzhou built a machine-learning model that combines MRI radiomics and clinical variables to predict lymphovascular invasion in gastric ...
A multicenter study shows a hybrid deep learning model combining CNN and graph convolutional networks can predict malignancy in BI-RADS ...
Researchers in Nanjing developed an interpretable machine learning model that analyzes MRI tumor subregions to predict prostate cancer aggressiveness noninvasively ...
A Chinese research team has built a radiomics and deep learning model that predicts brain invasion in meningiomas from routine ...
A two-center study shows that radiomic analysis of MR cytometry parameter maps outperforms mean-value-based diffusion MRI metrics for distinguishing benign ...
A two-center Chinese study shows that a machine learning model combining radiomics features from ultrasound and DCE MRI can non-invasively ...
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