This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint injuries (SJIs) in swimmers. A novel ...

Algorithmic quantitative analysis of medical images could lead to improved diagnostic accuracy and prognosis for patients, but this is hindered by multiple factors. These include: (1) poor ...

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 ...

A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...

Magnetic resonance imaging (MRI) is a technique using magnets, radio waves, and a computer that produces images of soft tissues in the body, like muscles and organs. Unlike some other imaging tests, ...

The use of 12-core systematic prostate biopsy is associated with diagnostic inaccuracy that contributes to both overdiagnosis and underdiagnosis of prostate cancer. Biopsies performed with magnetic ...