Theme 2: Automated methods for volume segmentation/analysis, e.g., machine learning — ICTMS Committee Dep of Applied Maths Australian National University

Theme 2: Automated methods for volume segmentation/analysis, e.g., machine learning — ICTMS Committee Dep of Applied Maths Australian National University

Theme 2: Automated methods for volume segmentation/analysis, e.g., machine learning

Automated methods for volume segmentation/analysis, e.g., machine learning

Chair: Sergei Evsevleev

Modelling intensity and gradient distribution of 3D tomography data for direct extraction of physical parameters and robust evaluation of segmentation (88)

FiberFind: Machine learning-based segmentation and identification of individual fibers in µCT images of fibrous media (135)

Andreas Grießer

More than pretty images – Towards confidence bounds on segmentation thresholds (182)

INSEGT FIBRE: A POWERFUL SEGMENTATION TOOL FOR QUANTIFYING FIBRE ARCHITECTURE IN COMPOSITES (44)

Monica J Emerson

Multi-Branch Deep Residual Convolutional Neural Networks for Enhancing the Spatial Resolution of 3D Computed Tomography Images. (127)