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https://olympias.lib.uoi.gr/jspui/handle/123456789/24180Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Karvelis, P. S. | en |
| dc.contributor.author | Fotiadis, D. I. | en |
| dc.contributor.author | Georgiou, I. | en |
| dc.contributor.author | Syrrou, M. | en |
| dc.date.accessioned | 2015-11-24T19:38:46Z | - |
| dc.date.available | 2015-11-24T19:38:46Z | - |
| dc.identifier.issn | 1557-170X | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/24180 | - |
| dc.rights | Default Licence | - |
| dc.subject | Biomedical Engineering | en |
| dc.subject | Chromosomes, Human/*classification/genetics/ultrastructure | en |
| dc.subject | Databases, Factual | en |
| dc.subject | Female | en |
| dc.subject | Fluorescent Dyes | en |
| dc.subject | Humans | en |
| dc.subject | Image Interpretation, Computer-Assisted | en |
| dc.subject | In Situ Hybridization, Fluorescence/*methods/statistics & numerical data | en |
| dc.subject | Male | en |
| dc.title | A watershed based segmentation method for multispectral chromosome images classification | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | 10.1109/IEMBS.2006.260682 | - |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/17946153 | - |
| heal.identifier.secondary | http://ieeexplore.ieee.org/ielx5/4028925/4461641/04462430.pdf?tp=&arnumber=4462430&isnumber=4461641 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.publicationDate | 2006 | - |
| heal.abstract | M-FISH (multicolor fluorescence in situ hybridization) is a recently developed cytogenetic technique for cancer diagnosis and research on genetic disorders which uses 5 fluors to label uniquely each chromosome and a fluorescent DNA stain. In this paper, an automated method for chromosome classification in M-FISH images is presented. The chromosome image is initially decomposed into a set of primitive homogeneous regions through the morphological watershed transform applied to the image intensity gradient magnitude. Each segmented area is then classified using a Bayes classifier. We have evaluated our methodology on a commercial available M-FISH database. The classifier was trained and tested on non-overlapping chromosome images and an overall accuracy of 89% is achieved. By introducing feature averaging on watershed basins, the proposed technique achieves substantially better results than previous methods at a lower computational cost. | en |
| heal.journalName | Conf Proc IEEE Eng Med Biol Soc | en |
| heal.journalType | peer-reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Karvelis-2006-A watershed based se.pdf | 625.22 kB | Adobe PDF | View/Open Request a copy |
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