Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques
| dc.contributor.author | Papadopoulos, A. | en |
| dc.contributor.author | Fotiadis, D. I. | en |
| dc.contributor.author | Costaridou, L. | en |
| dc.date.accessioned | 2015-11-24T17:34:50Z | |
| dc.date.available | 2015-11-24T17:34:50Z | |
| dc.identifier.issn | 0010-4825 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/14039 | |
| dc.rights | Default Licence | - |
| dc.subject | mammography image enhancement | en |
| dc.subject | preprocessing | en |
| dc.subject | microcalcification detection | en |
| dc.subject | cad | en |
| dc.subject | computer-aided diagnosis | en |
| dc.subject | contrast enhancement | en |
| dc.subject | digital mammography | en |
| dc.subject | fuzzy-logic | en |
| dc.subject | histogram equalization | en |
| dc.subject | processing techniques | en |
| dc.subject | neural-network | en |
| dc.subject | algorithms | en |
| dc.subject | wavelets | en |
| dc.subject | models | en |
| dc.title | Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques | en |
| heal.abstract | In this work. the effect of an image enhancement processing stage and the parameter tuning of a computer-aided detection (CAD) system for the detection of microcalcifications in mammograms is assessed. Five (5) image enhancement algorithms were tested introducing the contrast-limited adaptive histogram equalization (CLAHE), the local range modification (LRM) and the redundant discrete wavelet (RDW) linear stretching and shrinkage algorithms. CAD tuning optimization was targeted to the percentage of the most contrasted pixels and the size of the minimum detectable object which could satisfactorily represent a microcalcification. The highest performance in two mammographic datasets, were achieved for LRM (A(Z) = 0.932) and the wavelet-based linear stretching (AZ = 0.926) methodology. (C) 2008 Elsevier Ltd. All rights reserved. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | DOI 10.1016/j.compbiomed.2008.07.006 | - |
| heal.identifier.secondary | <Go to ISI>://000260637700001 | - |
| heal.identifier.secondary | http://ac.els-cdn.com/S0010482508001042/1-s2.0-S0010482508001042-main.pdf?_tid=0657eccfc1be77ca67584c9bb9a755c3&acdnat=1339758312_5e92632d1e60f0dee75f285e099ccca5 | - |
| heal.journalName | Comput Biol Med | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2008 | - |
| heal.publisher | Elsevier | en |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικών | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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