Robustness of classification measurement

Details Robustness of classification measurement Robustness of classification measurement

G - Physics

06

K

G06K 9/46 (2006.01) G06K 9/00 (2006.01) G06K 9/62 (2006.01)

Patent

CA 2228062

A classifier (500) measures robustness responsive to object presentation effects and decision boundary effects. A cytological image analysis computer (562) obtains objects of interest and classifies them responsive to a decision tree classifier (Figure 8). The robustness of classification is calculated dynamically as objects are classified responsive to a segmentation robustness (38) and a classification decisiveness measure (42). The results of the decisiveness measure and the segmentation robustness data are combined to provide enhanced overall classification reliability (48).

Un classificateur (50) mesure la robustesse en réponse à des effets de présentation d'objets et des effets de limites de décision. Un ordinateur d'analyse d'images cytologiques (562) capture des objets à étudier et les classe en réponse à un classificateur d'arbre de décision (figure 8). La robustesse du classement est calculée, de manière dynamique, lors du classement des objets, en réponse à une robustesse de segmentation (38) et à une mesure de la prise de décision de classements (42). Les résultats de cette dernière mesure et les données relatives à la robustesse de la segmentation sont combinées pour améliorer la fiabilité globale (48) du classement.

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