APA (7th ed.) Citation

Gotkowski, K., Gupta, S., Godinho, J. R. A., Tochtrop, C. G. S., Maier-Hein, K. H., & Isensee, F. (2024). ParticleSeg3D: A scalable out-of-the-box deep learning segmentation solution for individual particle characterization from micro CT images in mineral processing and recycling. Powder technology, 434, . https://doi.org/10.1016/j.powtec.2023.119286

Chicago Style (17th ed.) Citation

Gotkowski, Karol, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, and Fabian Isensee. "ParticleSeg3D: A Scalable Out-of-the-box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and Recycling." Powder Technology 434 (2024). https://doi.org/10.1016/j.powtec.2023.119286.

MLA (9th ed.) Citation

Gotkowski, Karol, et al. "ParticleSeg3D: A Scalable Out-of-the-box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and Recycling." Powder Technology, vol. 434, 2024, https://doi.org/10.1016/j.powtec.2023.119286.