Nature

Graph neural network model using radiomics for lung CT image segmentation

Early detection of lung cancer is critical for improving treatment outcomes, and automatic lung image segmentation plays a key role in diagnosing lung-related diseases such as cancer, COVID-19, and ...
Nature

Image segmentation network based on enhanced dual encoder

Medical image segmentation plays a crucial role in image analysis, focusing on the identification and delineation of specific structures or areas of interest within medical images. By accurately ...
EurekAlert!

Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation

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 ...