Italicized a glossary term*

Author: v-deken

articles/cognitive-services/Computer-vision/Home.md

@@ -36,7 +36,7 @@ Computer Vision can do the following actions when analyzing an image:
 |**[Detect image types](quickstarts/csharp-analyze.md)**|Detect characteristics about an image, such as whether an image is a line drawing or the likelihood of whether an image is clip art.|
 |**[Detect domain-specific content](quickstarts/python-domain.md)**|Use domain models to detect and identify domain-specific content in an image, such as celebrities and landmarks. For example, if an image contains people, Computer Vision can use a domain model for celebrities included with the service to determine if the people detected in the image match known celebrities.|
 |**[Detect the color scheme](quickstarts/csharp-analyze.md)**|Analyze color usage within an image. Computer Vision can determine whether an image is black & white or color and, for color images, identify the dominant and accent colors.|
-|**[Generate a thumbnail](quickstarts/csharp-thumb.md)**|Analyze the contents of an image to generate an appropriate thumbnail for that image. Computer Vision first generates a high-quality thumbnail and then analyzes the objects within the image to determine the `region of interest` (ROI). Computer Vision then crops the image to fit the requirements of the region of interest. The generated thumbnail can be presented using an aspect ratio that is different from the aspect ratio of the original image, depending on your needs.|
+|**[Generate a thumbnail](quickstarts/csharp-thumb.md)**|Analyze the contents of an image to generate an appropriate thumbnail for that image. Computer Vision first generates a high-quality thumbnail and then analyzes the objects within the image to determine the *region of interest* (ROI). Computer Vision then crops the image to fit the requirements of the region of interest. The generated thumbnail can be presented using an aspect ratio that is different from the aspect ratio of the original image, depending on your needs.|
 
 ## Extracting text from images