However, existing segmentation models that combine transformer and convolutional neural networks often use skip connections in U-shaped networks, which may limit their ability to capture ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes ... the fast and superior performance of the algorithm on the segmentation of prostate ...