Update README.md

README.md

@@ -3,7 +3,7 @@ license: mit
 ---
 # Deep Spatiotemporal Clutter Filtering Network
 
-*Architecture of the proposed spatiotemporal clutter filtering network. It is a fully convolutional auto-encoder designed based on the 3D U-Net to generate filtered transthoracic echocardiographic (TTE) sequences which are coherent both in space and time. An input-output skip connection was added to the auto-encoder for preserving fine image structures, together with the attention gate (AG) modules to aid the network focusing on the clutter zones.*
+*Architecture of the proposed spatiotemporal clutter filtering network. This fully convolutional autoencoder, based on the 3D U-Net, is designed to generate filtered TTE sequences that are coherent in both space and time. An input-output skip connection was incorporated to preserve fine image structures, while attention gate (AG) modules enable the network to focus on clutter zones and leverage contextual information for efficient image reconstruction. The size of the max-pooling window was set to (2x2x1) to preserve the original temporal dimension (i.e., the number of frames) of the input TTE sequences at all levels of the encoding path.*
 <img width="1236" alt="Clutter_filter" src="https://github.com/user-attachments/assets/c88fc727-fbb7-42dd-ae68-a8bdfb9149a1">
 
 ## Results