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

Nahirniak, V.M.

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