Assessing estrogen receptors’ status by texture analysis of breast tissue specimens and pattern recognition methods

dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.contributor.author	Δασκαλάκης, Αντώνης	el
dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Μπουγιούκος, Παναγιώτης	el
dc.date.accessioned	2015-05-11T09:39:28Z
dc.date.available	2015-05-11T09:39:28Z
dc.date.issued	2015-05-11
dc.identifier.uri	http://hdl.handle.net/11400/10120
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/chapter/10.1007/978-3-540-74272-2_28	en
dc.subject	Image analysis
dc.subject	Pattern recognition
dc.subject	Ανάλυση εικόνας
dc.subject	Αναγνώριση προτύπων
dc.title	Assessing estrogen receptors’ status by texture analysis of breast tissue specimens and pattern recognition methods	en
heal.type	conferenceItem
heal.generalDescription	Proceedings	en
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/sh98002813
heal.keywordURI	http://zbw.eu/stw/descriptor/15410-6
heal.contributorName	Καγκάδης, Γεώργιος Χ.	el
heal.contributorName	Ραβαζούλα, Παναγιώτα	el
heal.contributorName	Νικηφορίδης, Γεώργιος Χ.	el
heal.identifier.secondary	DOI 10.1007/978-3-540-74272-2_28
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	en
heal.publicationDate	2007
heal.bibliographicCitation	Kostopoulos, S., Cavouras, D., Daskalakis, A., Kalatzis, I., Bougioukos, P., et al. (2007). Assessing estrogen receptors’ status by texture analysis of breast tissue specimens and pattern recognition methods. Proceedings of the 12th International Conference CAIP 2007. Vienna, Austria, 27th-29th August 2007. pp 221-228, 2007. Springer Berlin Heidelberg: 2007. Available from: http://link.springer.com/chapter/10.1007/978-3-540-74272-2_28	en
heal.abstract	An image analysis system (IAS) was developed for the quantitative assessment of estrogen receptor’s (ER) positive status from breast tissue microscopy images. Twenty-four cases of breast cancer biopsies, immunohistochemically (IHC) stained for ER, were microscopically assessed by a histopathologist, following a clinical routine scoring protocol. Digitized microscopy views of the specimens were used in the IAS’s design. IAS comprised a/image segmentation, for nuclei determination, b/extraction of textural features, by processing of nuclei-images utilizing the Laws and Gabor filters and by calculating textural features from the processed nuclei-images, and c/PNN and SVM classifiers design, for discriminating positively stained nuclei. The proportion of the latter in each case’s images was compared against the physician’s score. Using Spearman’s rank correlation, high correlation was found between the histopathogist’s and IAS’s scores (rho=0.89, p<0.001) and 22/24 cases were correctly characterised, indicating IAS’s reliability in the quantitative evaluation of ER as additional assistance to physician’s assessment.	en
heal.publisher	Springer Berlin Heidelberg	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference CAIP 2007	en
heal.conferenceItemType	full paper