Paper revision GdA

Paper/paper.md

@@ -80,9 +80,9 @@ Adding resectograms to Slicer-Liver, allows a real-time 2D representation of res
 ![Virtual 3D resection with corresponding 2D resectogram.\label{fig:resection_resectogram}](Figures/resectograms_overview.svg){ width=100% }
 
 **Classification of Liver Segments**
-By departing from the standardized Couinaud classification of the liver in segments, the implemented approach enables a more individualized representation of liver segmental distribution [@{d'Albenzio:2023}] \autoref{fig:liver_segments}. Particularly noteworthy is the method’s accurate estimation of the challenging Segment 1, resulting in a comprehensive and precise segmentation of the caudate lobe. While improvements, particularly in automating the landmark marking process, are needed, the approach holds promise for improving liver surgery planning and has the potential to optimize surgical outcomes.
+By departing from the standardized Couinaud classification of the liver in segments, the implemented approach enables a more individualized representation of liver segmental distribution [@{d'Albenzio:2023}] \autoref{fig:couinaud_segments}. Particularly noteworthy is the method’s estimation of segments 8 and 5, rusulting in a classification that is more applicable to real-world surgical scenarios, as shown in \autoref(fig:couinaud_segments.svg)[@Bismuth:1982].  While improvements, particularly in automating the landmark marking process, are needed, the approach holds promise for improving liver surgery planning and has the potential to optimize surgical outcomes.
 
-![Visualizing liver segments based on annotated hepatic and portal vessel segments around the tumor.\label{fig:liver_segments}](Figures/liver_segments.png)
+![Visualizing liver segments based on annotated hepatic and portal vessel segments.\label{fig:couinaud_segments}](Figures/couinaud_segments.svg)
 
 # Acknowledgements
 This work was conducted as part of the ALive project, funded by the Research Council of Norway under the IKTPLUSS research program (grant nr. 311393).