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Mask R-CNN based droplet detection in liquid–liquid systems, Part 2: Methodology for determining training and image processing parameter values improving droplet detection accuracy

Stepan Sibirtsev, Song Zhai, Mathias Neufang, Jakob Seiler, Andreas Jupke

2023Chemical Engineering Journal24 citationsDOI

Topics & Concepts

Range (aeronautics)Sensitivity (control systems)Image processingHyperparameterComputer scienceWork (physics)Convolutional neural networkArtificial intelligenceBiological systemImage (mathematics)Materials scienceEngineeringMechanical engineeringElectronic engineeringComposite materialBiologyInnovative Microfluidic and Catalytic Techniques InnovationFluid Dynamics and MixingElectrohydrodynamics and Fluid Dynamics
Mask R-CNN based droplet detection in liquid–liquid systems, Part 2: Methodology for determining training and image processing parameter values improving droplet detection accuracy | Litcius