Abstract: In 2021, the Transformer based models have demonstrated ... the Densely Connected Feature Aggregation Module (DCFAM) is used as the pixel decoder to incorporate multi-level feature maps from ...

It is of great importance to reduce this radiation exposure by using low-dose CT (LDCT) acquisition, which is effective, but reconstructed CT images tend to be degraded, leading to the loss ... an ...

As the model is trained, the loss function values decrease ... Considering the effectiveness of atrous convolution, this study adds ASPP module in the middle of encoder and decoder. By using the ...

Define the encoder and decoder models. Train the model by running the training loop with the specified number of epochs. Monitor the training process using the loss metrics and adjust hyperparameters ...

A simple encoder-decoder model without the attention mechanism tends to forget the earlier part of the sequence once they process further. With the attention mechanism, the model can deal with long ...

If they are very long, you might need a more complex encoder-decoder architecture that can handle the long-term dependencies and avoid information loss ... a transformer model, which uses self ...