Source:http://linkedlifedata.com/resource/pubmed/id/11187514
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:dateCreated |
2001-1-18
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| pubmed:abstractText |
The paper outlines an integrated image processing environment that uses neural networks ActiveX technology for object recognition and classification. The image processing environment which is Windows based, encapsulates a Multiple-Document Interface (MDI) and is menu driven. Object (shape) parameter extraction is focused on features that are invariant in terms of translation, rotation and scale transformations. The neural network models that can be incorporated as ActiveX components into the environment allow both clustering and classification of objects from the analysed image. Mapping neural networks perform an input sensitivity analysis on the extracted feature measurements and thus facilitate the removal of irrelevant features and improvements in the degree of generalisation. The program has been used to evaluate the dimensions of the hydrocephalus in a study for calculating the Evans index and the angle of the frontal horns of the ventricular system modifications.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
T
|
| pubmed:status |
MEDLINE
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| pubmed:issn |
0926-9630
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
77
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
1210-4
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| pubmed:dateRevised |
2004-11-17
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| pubmed:meshHeading | |
| pubmed:year |
2000
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| pubmed:articleTitle |
A neural network ActiveX based integrated image processing environment.
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| pubmed:affiliation |
National Institute for R&D in Informatics, Bucharest, Romania.
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| pubmed:publicationType |
Journal Article
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