Show simple item record

dc.contributor.authorLee, Gobert N
dc.contributor.authorBajger, Mariusz
dc.contributor.authorCaon, Martin
dc.date.accessioned2012-11-01T22:27:28Z
dc.date.available2012-11-01T22:27:28Z
dc.date.issued2012
dc.identifier.citationLee, G.N., Bajger, M. and Caon, M., 2012. Multi-organ segmentation of CT images using statistical region merging. Proceedings of the Ninth IASTED International Conference on Biomedical Engineering, 199-206.en
dc.identifier.urihttp://hdl.handle.net/2328/26398
dc.description.abstractSegmentation is one of the key steps in the process of developing anatomical models for calculation of safe medical dose of radiation for children. This study explores the potential of the Statistical Region Merging segmentation technique for tissue segmentation in CT images. An analytical criterion allowing for an automatic tuning of the method is developed. The experiments are performed using a data set of 54 images from one patient, demonstrating the validity of the proposed criterion. The results are evaluated using the Jaccard index and a measure of border error with tolerance which addresses, application-dependant, acceptable error. The outcome shows that the technique has a great potential to become a method of choice for segmentation of CT images with an overall average boundary precision, for six representative tissues, equal to 0.937.en
dc.language.isoen
dc.publisherInternational Association of Science and Technology for Developmenten
dc.subjectMedical imagingen
dc.subjectComputer-aided diagnosisen
dc.subjectCT imagingen
dc.titleMulti-organ segmentation of CT images using statistical region mergingen
dc.typeArticleen
dc.rights.licenseIn Copyright
local.contributor.authorOrcidLookupBajger, Mariusz: https://orcid.org/0000-0003-1866-2451en_US
local.contributor.authorOrcidLookupCaon, Martin: https://orcid.org/0000-0001-6535-6380en_US
local.contributor.authorOrcidLookupLee, Gobert N: https://orcid.org/0000-0001-8330-0508en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record