research data . Dataset . Under curation

LoDoPaB-CT Challenge Set

Leuschner, Johannes; Schmidt, Maximilian; Otero Baguer, Daniel;
Open Access English
  • Publisher: Zenodo
Abstract
<p>Observation data for the <a href="https://lodopab.grand-challenge.org/">LoDoPaB-CT challenge</a>, which asks to reconstruct&nbsp;CT images of the human lung&nbsp;from (simulated) low photon count measurements.</p> <p>The setting is identical to the one of&nbsp;the&nbsp;<a href="https://zenodo.org/record/3384092">LoDoPaB-CT dataset</a>&nbsp;(documented in an&nbsp;<a href="https://arxiv.org/abs/1910.01113">arXiv preprint</a>), which is supposed to be employed&nbsp;for training learned methods.&nbsp;This challenge set contains observations for a separate&nbsp;set of patients.</p> <p>Python utilities&nbsp;for accessing this challenge set and creating the submis...
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