research data . Dataset . 2019

LoDoPaB-CT Dataset

Leuschner, Johannes; Schmidt, Maximilian; Otero Baguer, Daniel;
Open Access English
  • Published: 04 Oct 2019
  • Publisher: Zenodo
Abstract
<p>A Benchmark Dataset for Low-Dose CT Reconstruction Methods.</p> <p>The following Data Descriptor article provides full documentation:</p> <p>Leuschner, J., Schmidt, M., Baguer, D.O.&nbsp;<em>et al.</em>&nbsp;LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.&nbsp;<em>Sci Data</em>&nbsp;<strong>8,&nbsp;</strong>109 (2021). <a href="https://www.nature.com/articles/s41597-021-00893-z">https://www.nature.com/articles/s41597-021-00893-z</a></p> <p>&nbsp;</p> <p>The python library DIV&alpha;ℓ (<a href="https://github.com/jleuschn/dival">github.com/jleuschn/dival</a>)&nbsp;can be used to download and access the dataset.</p> <p>Reconstru...
Subjects
free text keywords: computed tomography, deep learning, low-dose CT, image reconstruction, human chest, parallel beam, X-Ray, machine learning
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Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Zenodo
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