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 ...

Midjourney, known for AI image generation, is now building hardware with the launch of Midjourney Medical. The company has ...

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 ...