Tag: Medical Imaging

A rigorously validated study of 612 patients finds that adding delayed-phase ¹⁸F-FDG PET/CT imaging to prediction models for indeterminate pulmonary ...

A three-parameter cardiac MRI model combining myocardial strain and tissue characteristics can identify hypertrophic cardiomyopathy patients whose outflow tract obstruction ...

A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound and distinguish benign from malignant cases, ...

Researchers in China have built a deep-learning model that fuses CT, MRI, and 3D radiation dose data to predict which ...

A new federated framework fine-tunes the Segment Anything Model for multi-organ segmentation by training only tiny low-rank adapters on quantized ...

Three-dimensional microvascular ultrasound revealed coexisting borderline and malignant vascular patterns in a stable ovarian cyst, guiding fertility-sparing surgery that confirmed ...

Researchers built an expert-annotated Chinese knee MRI dataset and an optimized Swin-Unet Transformer model that segments femoral and tibial cartilage ...

A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...

A new systematic review of 28 studies finds that deep learning detects vulnerable carotid plaques with a pooled AUC of ...

A Chinese research team used CT radiomics and machine learning to distinguish harmless ground-glass lung nodules from invasive adenocarcinoma with ...