DOC: Minor text changes

Paper/paper.md

@@ -54,10 +54,10 @@ All these challenges support the advancing on the integration of computer-aided
 Slicer-Liver is a 3D Slicer extension that can be installed directly through the 3D Slicer Extension Manager [@3DSlicerExtensionsManager:2024]. Slicer-Liver is intended for research purposes and is distributed through an MIT license. The software architecture is based on 3D Slicer modules (both C++ and Python) and follows common patterns found in other 3D Slicer extensions. The software provides four bodies of functionality that can be used independently or in conjunction as described in the following. 
 
 **Definition of Virtual Resections**
-Slicer-Liver has integrated different geometric modeling techniques to model virtual resetions (deformable Bézier with planar initialization [@Palomar:2017], NURBS (Non-Uniform Rational B-Spline) and contour-initialized resections). The implementation of these methods include visualization of the resection margin, adaptive grid visualization and clipping of the resection excess. Thanks to the computation of distance maps between anatomical structures, resection margin visualization operates in real-time as the user modifies the resection.
+Slicer-Liver has integrated different geometric modeling techniques to model virtual resetions: Deformable Bézier with planar initialization [@Palomar:2017], NURBS (Non-Uniform Rational B-Spline) and contour-initialized resections. The implementation of these methods include visualization of the resection margin, adaptive grid visualization and clipping of the resection excess. Thanks to the computation of distance maps between anatomical structures, resection margin visualization operates in real-time as the user modifies the resection.
 
 **Resectograms**
-As an additional visualization object, Slicer-Liver implements the use of resectograms [@meng2023resectograms], which benefit from the computation of distance maps to extend the real-time visualization of the information along the resection trajectory. Resectograms help the user understand information subject to occlusions in the 3D Scene, as well as serve as indicator of validity of resections (e.g., making possible detection of malformed resections or violations of margins).
+As an additional visualization object, Slicer-Liver implements the use of resectograms [@meng2023resectograms], which benefit from the computation of distance maps to extend the real-time visualization of the information along the resection trajectory. Resectograms help the user understand information subject to occlusions in the 3D Scene, as well as serve as an indicator of validity of resections (e.g., making it possible to detect malformed resections or violations of margins).
 
 **Liver Segments Classification**
 Slicer-Liver leverages the method for computing liver vascular territories and segments classification utilized in [@{d'Albenzio:2023}]. The method uses the liver morphology, the interior vascular network, and user-defined landmarks to provide enhanced flexibility in marker placement, distinguishing it from other methods. One of the advantages of this approach is that vascular territories participated by both portal and hepatic vessel systems can be computed. The liver segments computed can be visualized and processed as segmentation objects or 3D models, by the rest of the tools provided in 3D Slicer.