The segmentation details produced by different methods are shown in focus in the blue rectangular box areas. The proposed method performs better than other methods. Medical image segmentation is a ...

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 ...

Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...

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, ...