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Shi et al. Chinese Medicine 2014, 9:7 http://www.cmjournal.org/content/9/1/7 RESEARCH Open Access Computerized tongue image segmentation via the double convector flow Liaoning Shi1, Guofeng Li2×,
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How to fill out computerized tongue image segmentation:

01
Begin by accessing the computerized tongue image segmentation software on your computer.
02
Open the software and import the tongue image that you wish to segment.
03
Familiarize yourself with the various tools and options available in the software for image segmentation.
04
Use the appropriate tools to manually segment the tongue image, carefully outlining the boundaries of the tongue.
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If the software has automated segmentation algorithms, you can also try using them to assist in the segmentation process.
06
Review and refine the segmentation results as necessary, ensuring accuracy and completeness.
07
Save the segmented tongue image in the desired format and location.

Who needs computerized tongue image segmentation:

01
Dentists and oral health professionals who use tongue images for diagnosis and treatment planning may benefit from computerized tongue image segmentation. It can assist in identifying specific features, patterns, and abnormalities in the tongue.
02
Researchers and scientists involved in studying tongue health, oral diseases, or related fields may find computerized tongue image segmentation helpful for their studies and data analysis.
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Patients and individuals interested in monitoring their own tongue health can also utilize computerized tongue image segmentation as a tool for self-assessment and tracking changes over time.
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Computerized tongue image segmentation is a process of separating the tongue region from the rest of an image, using computer algorithms to identify and isolate the tongue pixels.
Computerized tongue image segmentation is typically performed by researchers and healthcare professionals who are analyzing tongue images for medical or research purposes.
To fill out computerized tongue image segmentation, one needs to apply appropriate image processing algorithms and techniques to identify and extract the tongue region from an image. Tools such as image segmentation software or programming languages like Python with image processing libraries can be utilized for this purpose.
The purpose of computerized tongue image segmentation is to facilitate the analysis of tongue images by isolating the tongue region. This segmentation enables further analysis and extraction of features or patterns from the tongue image, which can be used for various purposes such as tongue diagnosis in traditional Chinese medicine or for medical research in fields like oral health or pathology.
In computerized tongue image segmentation, the main focus is on separating the tongue region from the rest of the image. Therefore, the information reported typically includes the segmented tongue image or the coordinates/pixels representing the tongue region in the original image. Additional metadata such as image resolution, patient ID, or any relevant annotations may also be included depending on the specific requirements of the analysis or research.
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