Use this url to cite publication: https://hdl.handle.net/20.500.14911/132594
Mean and standard deviation for ischemic stroke segmentation of human head brain in computed tomography images
Publication Type (CRIS)
Straipsnis recenzuojamoje Lietuvos konferencijos medžiagoje / Article in peer-reviewed Lithuanian conference proceedings (P1f)
Publication Type (eLABa)
Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)
Title
Mean and standard deviation for ischemic stroke segmentation of human head brain in computed tomography images
A. Usinskas, V. Mikelaitis
Is part of
BEC 2002 : proceedings of the 8th Biennial Baltic Electronics Conference, October 6-9, 2002, Tallinn, Estonia
Published In
| Year | Start Page | End Page |
|---|---|---|
2002 | 371 | 374 |
Publisher
2002
Extent
p. 371-374
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Elektros ir elektronikos inžinerija / Electrical and electronic engineering (T001)
Abstract (en)
Well-known technique such as mean and standard deviation was used to segment ischemic stroke computed tomography (CT) image of human head brain. It was necessary to collect two-dimensional data before brain image segmentation. Image segmentation was performed with the help of the 3-nearest neighbor classifier utilizing collected two-dimensional data. The results of segmentation performed showed the possibility to use mean and standard deviation as features to segment CT images of human head brain.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Lietuva / Lithuania (LT)
Owning collection
ISBN (of the container)
9985592921
eLABa ID
3616431