Update README.md

README.md

@@ -15,7 +15,7 @@ license: mit
 *(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) 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.*  
+/synthetic` directory. The row below the filtered frames shows the absolute difference between the clutter-filtered and clutter-free frames.*  
 
 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.