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Advantages in the use of the laplacian kernel for image processing in matlab

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dc.contributor.author Nahirniak, V.M. en
dc.coverage.temporal 06, 08 лютого 2023р. uk_UA
dc.date.accessioned 2023-10-18T08:00:55Z
dc.date.available 2023-10-18T08:00:55Z
dc.date.issued 2023
dc.identifier.uri http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/21432
dc.description.abstract When preparing and conducting radiation therapy for a patient, an important prerequisite for a quality radiation treatment is the development of a treatment plan. In order to start developing a treatment plan in the treatment planning system (TPS), you need a high-quality CT image of the patient, which visualizes the area of irradiation and clearly visible organs located in risk zones near the tumor. The presence of visualization noise on CT images, unclear contours of tissues and organs, and artifacts complicate the preparation of a treatment plan and reduces its quality. en
dc.format.extent c. 426-427 uk_UA
dc.language.iso en uk_UA
dc.publisher Буковинський державний медичний університет uk_UA
dc.title Advantages in the use of the laplacian kernel for image processing in matlab en
dc.type Thesis uk_UA
dc.event.place Чернівці uk_UA
dc.source.name Збірник матеріалів підсумкової 104-ї науково-практичної конференції з міжнародною участю професорсько-викладацького персоналу Буковинського державного медичного університету uk_UA


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