Walnuts

Citation Author(s):
Nadja
Gruber
Submitted by:
Nadja Gruber
Last updated:
Mon, 03/24/2025 - 13:47
DOI:
10.21227/8rze-np45
License:
0
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Abstract 

Walnut and Heart CT Data corresponding to Noisier2Inverse consist of high-resolution computed tomography (CT) scans used for evaluating deep learning-based image reconstruction under severe noise conditions. The dataset includes walnut CT scans from controlled experimental settings and clinical cardiac CT images. The Walnut data stems from this source: https://paperswithcode.com/dataset/cbct-walnut, and the Heart CT data is processed in python before, and is provided in .pt format. The origintal image stem from https://www.kaggle.com/datasets/abbymorgan/heart-ct. The exact preprocessing and also how the noise is put on the data can be found on our Github https://github.com/Nadja1611/Noisier2Inverse-Joint-Denoising-and-Reconstruction-of-correlated-noise

Instructions: 

There are the folders: train, test an test_paper, while test was used as validation set during training, while test_paper contains images used in results of paper

Dataset Files

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