We propose a novel Swin Transformer block to optimize feature extraction and enable the ... This facilitates efficient information flow between the Transformer encoder and CNN decoder. Finally, a ...

In this study, we proposed deep learning-based architecture, Transformer ResU-Net (TransResU-Net), for automatic polyp segmentation. TresResU-Net is an encoder-decoder based architecture built upon ...

When water freezes into ice or boils into vapor, its properties change dramatically at specific temperatures. These so-called phase transitions are fundamental to understanding materials. But how do ...