Vol. 1 No. 9 (2023), Articles
Vol. 1 No. 9 (2023)

Color-aware digital image segmentation procedure as a tool for studying fatty liver disease

Articles
Published 2023-09-30
Boboyorov Sardor Uchqun o‘g‘li
Tashkent Medical Academy Termiz branch, Uzbekistan
Sinelnikova Tetiana
Department of Informatics, Kharkiv National University of Radio Electronics, Ukraine
Zeleniy Oleksandr
Department of Media Systems and Technology, Kharkiv National University of Radio Electronics, Ukraine
Lyashenko Vyacheslav
Department of Media Systems and Technology, Kharkiv National University of Radio Electronics, Ukraine
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Keywords

Segmentation, Diagnostics, Analysis, Liver, Fatty disease, Medical image, Color space

How to Cite

Color-aware digital image segmentation procedure as a tool for studying fatty liver disease. (2023). Journal of Universal Science Research, 1(9), 431-441. https://universalpublishings.com/~niverta1/index.php/jusr/article/view/2070
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Abstract

Digital medical images are one of the sources of information for timely prevention of possible diseases. In this case, color medical images are widely used. One example of such use is in the diagnosis of fatty liver disease. Based on this, the paper considers the possibility of studying fatty liver disease based on digital image segmentation taking into account color. The results of digital processing are presented for real images depicting lesions of fatty liver disease.

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References

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