Tag: Medical Imaging

A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound ...

A Turkish research team trained a YOLOv11x deep learning model on more than 1,500 CBCT scans to automatically classify midpalatal ...

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 ...

A PRISMA-compliant systematic review of 48 deep learning studies finds that only 27 percent of diabetic foot ulcer AI systems ...

A multicenter study shows a deep learning model called GobletNet can segment and classify parotid gland tumors on ultrasound with ...

A retrospective study of 428 hospitalized COVID-19 patients in southern Iran found that more than 40 percent of chest HRCT ...

A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...

A deep learning model segments fetal lungs on MRI in about four seconds with expert-level accuracy across diverse pulmonary hypoplasia ...

Researchers in South Korea have developed a fully automated deep-learning system that uses supervised contrastive learning across multiphase CT scans ...