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Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma

Author/Creator: Σπυρίδωνος, Παναγιώτα Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα; Νικηφορίδης, Γεώργιος Χ.

Publication Date: 2002
Computer-based malignancy grading of astrocytomas employing a support vector machines classifier, the WHO grading system, and the regular staining diagnostic procedure Hematoxylin-Eosin

Author/Creator: Γκλώτσος, Δημήτριος; Σπυρίδωνος, Παναγιώτα Π.; Πεταλάς, Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα

Publication Date: 2004
Automatic segmentation of routinely H&E stained microscopic images by combining support vector machine clustering and active contour models

Author/Creator: Γκλώτσος, Δημήτριος; Σπυρίδωνος, Παναγιώτα Π.; Κάβουρας, Διονύσης Α.; Ραβαζούλα, Παναγιώτα; Αραπαντώνη-Δαδιώτη, Πετρούλα

Publication Date: 2004
Cascade pattern recognition structure for improving quantitative assessment of estrogen receptor status in breast tissue carcinomas

Author/Creator: Κωστόπουλος, Σπυρίδων; Κάβουρας, Διονύσης Α.; Δασκαλάκης, Αντώνης; Καγκάδης, Γεώργιος Χ.; Καλατζής, Ιωάννης

Publication Date: 2008
A pilot study investigating the minimum requirements necessary for grading astrocytomas remotely

Author/Creator: Γκλώτσος, Δημήτριος; Γεωργιάδης, Παντελής; Κωστόπουλος, Σπυρίδων; Δασκαλάκης, Αντώνης; Καλατζής, Ιωάννης

Publication Date: 2009

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Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma

Computer-based malignancy grading of astrocytomas employing a support vector machines classifier, the WHO grading system, and the regular staining diagnostic procedure Hematoxylin-Eosin

Automatic segmentation of routinely H&E stained microscopic images by combining support vector machine clustering and active contour models

Cascade pattern recognition structure for improving quantitative assessment of estrogen receptor status in breast tissue carcinomas

A pilot study investigating the minimum requirements necessary for grading astrocytomas remotely

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