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Liver Edge Detection System

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dc.contributor.author De Zoysa, A.E
dc.date.accessioned 2022-03-11T04:55:50Z
dc.date.available 2022-03-11T04:55:50Z
dc.date.issued 2021
dc.identifier.citation De Zoysa, A.E (2021) Liver Edge Detection System. BSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.issn 2016416
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/905
dc.description.abstract " This paper analyzes the process of edge detection applied to liver sonograms and its benefit in the medical domain for aiding in the analysis and diagnosis of the human liver. To provide a solution, multiple edge detection solutions are compared with each other as well as a proposed method in order to find the algorithm that works best for this use case, which is for sonograms, after which evaluations are carried out. The results of this study shows that the edge detection of liver sonograms is beneficial to sonographers, and that the proposed method for detecting edges in liver sonograms is of expected quality and works better than previous methods in terms of output quality, as well as speed. This study shows that the methods of edge detection can be improved in quality and that the medical domain is in need of tools such as the one implemented in this study. There is room for future work to improve the proposed solution further and to implement more features that will be beneficial to sonographers." en_US
dc.language.iso en en_US
dc.subject Canny Operator en_US
dc.subject Edge Detection en_US
dc.subject Liver en_US
dc.subject Sonogram en_US
dc.subject Ultrasound en_US
dc.subject Sonography en_US
dc.title Liver Edge Detection System en_US
dc.type Thesis en_US


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