References
A. Grießer, R. Westerteiger, E. Glatt, H. Hagen, A. Wiegmann, Identification and analysis of fibers in ultra-large micro-CT scans of nonwoven textiles using deep learning, The Journal of The Textile Institute, p. 1647–1657 (2022)
A. Grießer, R. Westerteiger, E. Glatt, H. Hagen, A. Wiegmann, Deep learning based segmentation of binder and fibers in gas diffusion layers. Next Materials 6, p. 100411–100420 (2025)
M. Peterson, E. Glatt, Computation of fiber diameters from discretized binary images with detailed error estimation, Report Series of Math2Market GmbH, No. M2M-2021-01 (2021)
A. Paszke, et. al, PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019)
O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional networks for biomedical image segmentation, Medical Image Computing and Computer-Assisted Intervention (2015)