Discover how medical 3D printing creates patient-specific devices and custom prosthetics. Read our guide to clinical ...

A team of researchers have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a new study. A team of ...

(A) A schematic that describes the module flow of the proposed RST2G. (B) Overall architecture of the proposed RST2G. (C) Detailed structure of DownBlocks. (D) Detailed structure of VitBlocks. (E) ...

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI ...

Nextgen 3D imaging turns complex scans into clear insight, elevating patient understanding and clinical decision making.

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

Automated brain volumetry in memory-impaired patients shows significant differences and systematic biases between conventional and ultrafast 3D T1-weighted MRI sequences “In patients for whom severe ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Please provide your email address to receive an email when new articles are posted on . MRI-based 3D models of the hip joint had excellent correlation with and may replace CT-based 3D models for both ...