Browsing by Author Ραβαζούλα, Παναγιώτα

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Showing results 1 to 14 of 14
Issue DateTitleAuthor(s)
2015-05-11; 2005Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machinesΓκλώτσος, Δημήτριος; Ραβαζούλα, Παναγιώτα; Κάβουρας, Διονύσης Α.; Νικηφορίδης, Γεώργιος Χ.; Tohka, Jussi
2015-05-11; 2004Automatic segmentation of routinely H&E stained microscopic images by combining support vector machine clustering and active contour modelsΓκλώτσος, Δημήτριος; Σπυρίδωνος, Παναγιώτα Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα; Αραπαντώνη-Δαδιώτη, Πετρούλα
2015-05-11; 2006Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classificationΣπυρίδωνος, Παναγιώτα Π.; Πεταλάς, Π.; Γκλώτσος, Δημήτριος; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα
2015-05-08; 2002A computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrenceΣπυρίδωνος, Παναγιώτα Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα; Νικηφορίδης, Γεώργιος Χ.
2015-05-08; 2001Computer-based grading of haematoxylin-eosin stained tissue sections of urinary bladder carcinomasΣπυρίδωνος, Παναγιώτα Π.; Ραβαζούλα, Παναγιώτα; Κάβουρας, Διονύσης Α.; Βερβερίδης, Κ.; Νικηφορίδης, Γεώργιος Χ.
2015-05-11; 2004Computer-based malignancy grading of astrocytomas employing a support vector machines classifier, the WHO grading system, and the regular staining diagnostic procedure Hematoxylin-EosinΓκλώτσος, Δημήτριος; Σπυρίδωνος, Παναγιώτα Π.; Πεταλάς, Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα
2015-05-12; 2008Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological imagesΔασκαλάκης, Αντώνης; Κωστόπουλος, Σπυρίδων; Σπυρίδωνος, Παναγιώτα Π.; Γκλώτσος, Δημήτριος; Ραβαζούλα, Παναγιώτα
2015-06-10; 2013-10-26A GPU-based computer-assisted microscopy system for assessing the importance of different families of histological characteristics in cancer diagnosisΓκλώτσος, Δημήτριος; Σιδηρόπουλος, Κωνσταντίνος; Κωστόπουλος, Σπυρίδων; Ραβαζούλα, Παναγιώτα; Καλατζής, Ιωάννης
2015-06-23A GPU-based computer-assisted microscopy system for assessing the importance of different families of histological characteristics in cancer diagnosisΓκλώτσος, Δημήτριος; Σιδηρόπουλος, Κωνσταντίνος; Κωστόπουλος, Σπυρίδων; Ραβαζούλα, Παναγιώτα; Καλατζής, Ιωάννης
2015-05-11; 2005An image-analysis system based on support vector machines for automatic grade diagnosis of brain-tumour astrocytomas in clinical routineΓκλώτσος, Δημήτριος; Σπυρίδωνος, Παναγιώτα Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα; Αραπαντώνη-Δαδιώτη, Πετρούλα
2015-05-08; 2002Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinomaΣπυρίδωνος, Παναγιώτα Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα; Νικηφορίδης, Γεώργιος Χ.
2015-02-03; 2012A pattern recognition system for brain tumour grade prediction based on histopathological material and features extracted at different optical magnificationsΚωνσταντίνου, Χρήστος; Μανέας, Ευθύμιος; Γκλώτσος, Δημήτριος; Κωστόπουλος, Σπυρίδων; Ραβαζούλα, Παναγιώτα
2015-05-04; 2012Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unitΣιδηρόπουλος, Κωνσταντίνος; Γκλώτσος, Δημήτριος; Κωστόπουλος, Σπυρίδων; Ραβαζούλα, Παναγιώτα; Καλατζής, Ιωάννης
2015-05-08; 2003Urinary bladder tumor grade diagnosis using on-line trained neural networksΤασουλής, Δημήτρης Κ.; Σπυρίδωνος, Παναγιώτα Π.; Παυλίδης, Νίκος Γ.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα