CT Image Segmentation in Medical Applications

A tétel rövid nézete
dc.contributor.advisorHarangi, Balázs
dc.contributor.authorAbok, Adija Beatrice
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2020-05-13T06:28:42Z
dc.date.available2020-05-13T06:28:42Z
dc.date.created2020-05-12
dc.description.abstractMy thesis is about CT IMAGE SEGMENTATION IN MEDICAL APPLICATIONS, I discussed medical images, their segmentation, the methods and techniques involved in achieving this as well as implementing a segmentation technique by writing a program to detect abnormalities. I created and implemented a computer program using MATLAB which segments medical images for easier identification. I used the Global Thresholding technique in which I manually set the threshold value to be 0.7 for the entire image. Pixels with intensity values less than that 0.7 were represented in white while those greater than that value represented the black pixels. Also In extracting the tumour regions, I took advantage of the fact that the density/solidity of a tumor is higher than that of the brain and set a condition that areas with 30% higher density than that of the whole image are considered a tumour. I used the 30% value in order to pick up smaller tumours. In the future, I plan to improve my software by using a more automated segmentation technique.hu_HU
dc.description.courseComputer Sciencehu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent45hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/287009
dc.language.isoenhu_HU
dc.subjectCThu_HU
dc.subjectImage Segmentationhu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleCT Image Segmentation in Medical Applicationshu_HU
Fájlok
Gyűjtemények
Theses (IK)