EP 4208816 A1 20230712 - A CONCEPT FOR ADAPTING A MACHINE-LEARNING MODEL FOR DETERMINING POTENTIAL REGIONS OF INTEREST
Title (en)
A CONCEPT FOR ADAPTING A MACHINE-LEARNING MODEL FOR DETERMINING POTENTIAL REGIONS OF INTEREST
Title (de)
KONZEPT ZUR ANPASSUNG EINES MASCHINENLERNMODELLS ZUR BESTIMMUNG POTENTIELLER INTERESSENBEREICHE
Title (fr)
CONCEPT POUR ADAPTER UN MODÈLE D'APPRENTISSAGE MACHINE POUR DÉTERMINER DES RÉGIONS D'INTÉRÊT POTENTIELLES
Publication
Application
Priority
- DE 102020122921 A 20200902
- EP 2021071987 W 20210806
Abstract (en)
[origin: WO2022048859A1] Examples relate to a system for a microscope, a microscope system, a system for a mobile device, and to corresponding methods and computer programs. A system (110) for a microscope (120) is configured to obtain image data (140) from an optical imaging sensor of the microscope. The system is configured to determine, using a machine-learning model, a plurality of potential regions of interest (150) in the image data. The system is configured to provide review images of the potential regions of interest to a mobile device (300) of a user of the microscope. The system is configured to obtain feedback on the review images of the potential regions of interest from the mobile device of the user. The system is configured to adapt the machine-learning model based on the feedback.
CPC (source: EP)
G06F 18/214 (2023.01); G06F 18/2413 (2023.01); G06F 18/40 (2023.01); G06V 20/69 (2022.01)
Citation (search report)
See references of WO 2022048859A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
DOCDB simple family (application)
EP 2021071987 W 20210806; EP 21755768 A 20210806