mbkiss /2DeteCTcodes

Kiss, Maximilian; Der Sarkissian, Henri; Lucka, Felix

This is a collection of Python scripts for loading, pre-processing, reconstructing and segmenting X-ray CT projection data of the 2DeteCT data collection as described in Maximilian B. Kiss, Sophia B. Coban, K. Joost Batenburg, Tristan van Leeuwen, and Felix Lucka "2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning", Sci Data 10, 576 (2023) or arXiv:2306.05907 (2023)

Additional Metadata
Organisation	Computational Imaging
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Kiss, M., Der Sarkissian, H., & Lucka, F. (2023). mbkiss /2DeteCTcodes.

Additional Files
View at GitHub

See Also
article 2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning M.B. Kiss (Maximilian), S.B. Coban (Sophia), K.J. Batenburg (Joost), T. van Leeuwen (Tristan) and F. Lucka (Felix)

mbkiss /2DeteCTcodes

Publication

Publication

article
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning

Address

Publishing at CWI

Questions or comments?

mbkiss /2DeteCTcodes

Publication

Publication

article 2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning

Workflow

Workflow

Add Content

article
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning