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BR112021019996A2 - Treinamento de segmentação de instância baseado em aprendizagem profunda por meio de camadas de regressão - Google Patents

Treinamento de segmentação de instância baseado em aprendizagem profunda por meio de camadas de regressão

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Publication number
BR112021019996A2
BR112021019996A2 BR112021019996A BR112021019996A BR112021019996A2 BR 112021019996 A2 BR112021019996 A2 BR 112021019996A2 BR 112021019996 A BR112021019996 A BR 112021019996A BR 112021019996 A BR112021019996 A BR 112021019996A BR 112021019996 A2 BR112021019996 A2 BR 112021019996A2
Authority
BR
Brazil
Prior art keywords
deep learning
computing system
image
instance segmentation
images
Prior art date
Application number
BR112021019996A
Other languages
English (en)
Inventor
Amir Ben-Dor
Elad Arbel
Itay Remer
Original Assignee
Agilent Technologies Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Agilent Technologies Inc filed Critical Agilent Technologies Inc
Publication of BR112021019996A2 publication Critical patent/BR112021019996A2/pt

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Abstract

treinamento de segmentação de instância baseado em aprendizagem profunda por meio de camadas de regressão. a presente invenção refere-se a ferramentas e técnicas para implementação de imagem de microscopia digital usando segmentação baseada em aprendizagem profunda e/ou implementação de segmentação de instância com base em anotações parciais. em várias modalidades, um sistema de computação receberia primeira e segunda imagens, a primeira imagem compreendendo um campo de visão de uma amostra biológica, enquanto a segunda imagem compreende marcação de objetos de interesse na amostra biológica. o sistema de computação codificaria, usando um codificador, a segunda imagem para gerar terceira e quarta imagens codificadas (diferentes umas das outras) compreendendo pontuações ou mapas de proximidade. o sistema de computação treinaria um sistema de ai para prever objetos de interesse com base pelo menos em parte nas terceira e quarta imagens codificadas. o sistema de computação geraria (usando regressão) e decodificaria (usando um decodificador) duas ou mais imagens com base em uma nova imagem de uma amostra biológica para prever marcação de objetos na imagem nova.
BR112021019996A 2019-04-11 2020-04-10 Treinamento de segmentação de instância baseado em aprendizagem profunda por meio de camadas de regressão BR112021019996A2 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962832877P 2019-04-11 2019-04-11
US201962832880P 2019-04-12 2019-04-12
PCT/US2020/027815 WO2020210733A1 (en) 2019-04-11 2020-04-10 Deep learning based training of instance segmentation via regression layers

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BR112021019996A2 true BR112021019996A2 (pt) 2021-12-07

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BR112021019977A BR112021019977A2 (pt) 2019-04-11 2020-04-10 Interface de usuário configurada para facilitar a anotação de usuário para segmentação de instância dentro de amostra biológica
BR112021019996A BR112021019996A2 (pt) 2019-04-11 2020-04-10 Treinamento de segmentação de instância baseado em aprendizagem profunda por meio de camadas de regressão

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US (3) US11145058B2 (pt)
EP (2) EP3953860A1 (pt)
CN (2) CN113678142A (pt)
AU (2) AU2020271905A1 (pt)
BR (2) BR112021019977A2 (pt)
CA (2) CA3136490A1 (pt)
IL (3) IL311235B1 (pt)
WO (2) WO2020210733A1 (pt)

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