Multi-neural net imaging apparatus and method

G - Physics – 06 – K

Patent

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G06K 9/00 (2006.01) G01N 15/14 (2006.01) G06K 9/62 (2006.01) G01N 15/00 (2006.01)

Patent

CA 2377602

A multi-neural net imaging apparatus (2) and method for classification of image elements, such as biological particles. The multi-net structure utilizes subgroups of particle features to partition the decision space by an attribute or physical characteristic of the particle and/or by individual and group particle classification that includes an unknown category. Preprocessing (6) classifies particles as artifacts based on certain physical characteristics. Post processing (6) enables the use of contextual information either available from other sources or gleaned from the actual decision making process to further process the probability factors and enhance the decisions.

L'invention concerne un appareil (2) et un procédé d'imagerie de réseaux neuronaux multiples permettant de classifier des éléments d'images, tels que des particules biologiques. La structure multiréseaux utilise des sous-groupes d'éléments de particules afin de segmenter l'espace de décision selon les attributs ou les caractéristiques physiques de la particule et/ou par classification en particules isolées ou en groupes de particules comprenant une catégorie inconnue. Le prétraitement (6) consiste à classifier les particules comme étant des artefacts en fonction de certaines caractéristiques physiques. Le post-traitement (6) permet d'utiliser des informations contextuelles soit qui proviennent d'autres sources soit qui sont recueillies pendant le processus de prise de décision en cours de manière à traiter ultérieurement les facteurs de probabilité et à améliorer les décisions.

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