Source:http://linkedlifedata.com/resource/pubmed/id/15931803
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
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| pubmed:dateCreated |
2005-6-3
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| pubmed:abstractText |
Digital imaging of cancerous cells is instrumental not only in determining the characteristic of the cancer but also monitoring the progress of the disease in the follow up of the patient and adapting the treatment, accordingly. Therefore, we have developed an imaging system to display and layout the characteristics of normal and cancerous cells in an automated way. Image processing techniques are performed on the digitized images of stomach and skin tissues, in order to derive the number of cells, area of an individual cell, and average area of the cells in a certain size of an image window.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Apr
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| pubmed:issn |
0148-5598
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| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
29
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
179-85
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| pubmed:dateRevised |
2006-10-13
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| pubmed:meshHeading | |
| pubmed:year |
2005
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| pubmed:articleTitle |
Imaging system for visualization and numerical analysis of cancer at stomach and skin tissues.
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| pubmed:affiliation |
Electronics Engineering Department, Erciyes University, Kayseri, Turkey. kara@erciyes.edu.tr
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| pubmed:publicationType |
Journal Article
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