Linked Life Data

16422072

Source:http://linkedlifedata.com/resource/pubmed/id/16422072

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2006-1-20
pubmed:abstractText
In this paper, a method based on fuzzy mathematics to fuse multimodality medical images was presented. The improved FCM algorithm was adopted to segment images, and automatic fuzzy redistribution algorithm to define the subject degree. 16 different combinations of image tissues and 16 context relations, 256 models altogether, were considered. The result showed that the method had the great ability of anti-error and anti-segmentation interference and had the characteristics of robustness, quickness, and accuracy.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1001-5515
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1085-9
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
[A medical image fusion method based on fuzzy mathematics].
pubmed:affiliation
Digital Medical Research Center of Fudan University, Shanghai 200032, China.
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't