Litcius/Paper detail

Assessing the fidelity of neural network-based segmentation of soil XCT images based on pore-scale modelling of saturated flow properties

Efim V. Lavrukhin, Kirill M. Gerke, К. А. Романенко, К. Н. Абросимов, Marina V. Karsanina

2021Soil and Tillage Research46 citationsDOI

Topics & Concepts

Ground truthArtificial intelligenceSegmentationPattern recognition (psychology)Artificial neural networkComputer scienceGrayscaleImage segmentationConvolutional neural networkPixelSoil and Unsaturated FlowGroundwater flow and contamination studiesHydraulic Fracturing and Reservoir Analysis
Assessing the fidelity of neural network-based segmentation of soil XCT images based on pore-scale modelling of saturated flow properties | Litcius