• D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation

    6 days ago - By IEEE/ACM

    Assessing the location and extent of lesions caused by chronic stroke is critical for medical diagnosis, surgical planning, and prognosis. In recent years, with the rapid development of 2D and 3D convolutional neural networks , the encoder-decoder structure has shown great potential in the field of medical image segmentation. However, the 2D CNN ignores the 3D information of medical images, while the 3D CNN suffers from high computational resource demands. This paper proposes a new architecture called dimension-fusion-UNet , which combines 2D and 3D convolution innovatively in the encoding...
    Read more ...