Update README.md

README.md

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+license: mit
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 # 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.*
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 *(a) Examples of the cluttered test frames and ((b)-(h)) the clutter-filtered frames of the six vendors generated by the examined deep networks. (b), (c) and (d) The proposed 3D filter trained with L_rec, L_rec&adv and L_rec&prc, respectively. (e), (f) and (g), the 3D benchmark networks. (h) the 2D benchmark network. (i) The clutter-free frames. For each vendor, absolute difference images computed from the clutter-filtered and clutter-free frames are shown in the row below the respective filtered frames.*
 
-*Example video clips of (a) the cluttered and (d) clutter-free TTE sequences and the filtering results generated by (b) the proposed 3D filter and (c) the 2D filter (both trained with the in-out skip connection, AG module and reconstruction loss). Absolute difference video clips computed from the clutter-filtered and clutter-free frames are shown in the row below. (Raw files can be found in `Filtering_results_videos
-/synthetic`).*  
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-https://huggingface.co/MahdiTabassian/Deep-Spatiotemporal-Clutter-Filtering/blob/main/Filtering_results_videos/synthetic/GE.mp4
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-*(a) Example video clips of the in-vivo TTE sequences of four different subjects which are contaminated by the NF and/or RL clutter patterns. (b) The filtering results generated by the proposed 3D filter and (c) the 2D filt. Absolute difference video clips computed from the cluttered and clutter-filtered frames are shown below the filtered frames. (Raw files can be found in `Filtering_results_videos
-/in-vivo`).*
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+*Example video clips of (a) the cluttered and (d) clutter-free TTE sequences and the filtering results generated by (b) the proposed 3D filter and (c) the 2D filter (both trained with the in-out skip connection, AG module and reconstruction loss) can be found in `Filtering_results_videos
+/synthetic' directory. The row below the filtered frames shows the absolute difference between the clutter-filtered and clutter-free frames.*  
 
+*(a) Example video clips of the in-vivo TTE sequences of four different subjects which are contaminated by the NF and/or RL clutter patterns. (b) The filtering results generated by the proposed 3D filter and (c) the 2D filter can be found in `Filtering_results_videos
+/in-vivo`. Absolute differences between the cluttered and clutter-filtered frames are shown below the filtered frames.
 
 ## Installation
 
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       primaryClass={eess.IV},
       url={https://arxiv.org/abs/2401.13147}, 
 }
-```
+```