dc.contributor.author | Μπονιάτης, Ιωάννης Σ. | el |
dc.contributor.author | Κωσταρίδου, Έλενα | el |
dc.contributor.author | Κάβουρας, Διονύσης Α. | el |
dc.contributor.author | Καλατζής, Ιωάννης | el |
dc.contributor.author | Παναγιωτόπουλος, Ηλίας | el |
dc.date.accessioned | 2015-04-30T10:46:56Z | |
dc.date.available | 2015-04-30T10:46:56Z | |
dc.date.issued | 2015-04-30 | |
dc.identifier.uri | http://hdl.handle.net/11400/9314 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://link.springer.com/article/10.1007/s11517-006-0096-3 | en |
dc.subject | Osteoarthritis | |
dc.subject | Pattern recognition | |
dc.subject | Οστεοαρθρίτιδα | |
dc.subject | Αναγνώριση προτύπων | |
dc.title | Osteoarthritis severity of the hip by computer-aided grading of radiographic images | en |
heal.type | journalArticle | |
heal.classification | Medicine | |
heal.classification | Biomedical engineering | |
heal.classification | Ιατρική | |
heal.classification | Βιοϊατρική τεχνολογία | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh00006614 | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85014237 | |
heal.classificationURI | **N/A**-Ιατρική | |
heal.classificationURI | **N/A**-Βιοϊατρική τεχνολογία | |
heal.keywordURI | http://id.loc.gov/authorities/subjects/sh85095960 | |
heal.keywordURI | http://skos.um.es/unescothes/C02924 | |
heal.contributorName | Παναγιωτάκης, Γεώργιος Σ. | el |
heal.identifier.secondary | DOI 10.1007/s11517-006-0096-3 | |
heal.language | en | |
heal.access | campus | |
heal.recordProvider | Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. | el |
heal.publicationDate | 2006 | |
heal.bibliographicCitation | Boniatis, I., Costaridou, L., Cavouras, D., Kalatzis, I., Panagiotopoulos, E., et al. (September 2006). Osteoarthritis severity of the hip by computer-aided grading of radiographic images. Medical and Biological Engineering and Computing. 44(9). pp. 793-803. Springer-Verlag: 2006. Available from: http://link.springer.com/article/10.1007/s11517-006-0096-3 | en |
heal.abstract | A computer-aided classification system was developed for the assessment of the severity of hip osteoarthritis (OA) . Sixty-four radiographic images of normal and osteoarthritic hips were digitized and enhanced. Employing the Kellgren and Lawrence scale, the hips were grouped by three experienced orthopaedists into three OA-severity categories: Normal, Mild/Moderate and Severe. Utilizing custom-developed software, 64 ROIs corresponding to the radiographic Hip Joint Spaces were manually segmented and novel textural features were generated. These features were used in the design of a two-level classification scheme for characterizing hips as normal or osteoarthritic (1st level) and as of Mild/Moderate or Severe OA (2nd level). At each classification level, an ensemble of three classifiers was implemented. The proposed classification scheme discriminated correctly all normal hips from osteoarthritic hips (100% accuracy), while the discrimination accuracy between Mild/Moderate and Severe osteoarthritic hips was 95.7%. The proposed system could be used as a diagnosis decision-supporting tool. | en |
heal.publisher | Springer-Verlag | en |
heal.journalName | Medical and Biological Engineering and Computing | en |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | true |
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