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Computed Tomography (CT) datasets
archive 2025-07-28
15 datasets carry the task tag "Computed Tomography (CT)" (the task itself: Computed Tomography (CT)), ordered by the archive's paper count. Page 1 of 1: 15 shown of 15. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Computed Tomography (CT) datasets 1–15 of 15
The LUNA challenges provide datasets for automatic nodule detection algorithms using the largest publicly available reference database of chest CT scans, the LIDC-IDRI data set.
125 papers · 2 benchmarks
PadChest is a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports.
116 papers · 0 benchmarks
The LUNA16 (LUng Nodule Analysis) dataset is a dataset for lung segmentation.
99 papers · 0 benchmarks
ChestX-ray8 is a medical imaging dataset which comprises 108,948 frontal-view X-ray images of 32,717 (collected from the year of 1992 to 2015) unique patients with the text-mined eight common disease labels, mined from the text…
81 papers · 0 benchmarks
LiTS17 (Liver Tumor Segmentation Challenge 2017)
LiTS17 is a liver tumor segmentation benchmark.
45 papers · 3 benchmarks
Contains 349 COVID-19 CT images from 216 patients and 463 non-COVID-19 CTs.
28 papers · 0 benchmarks
MosMedData contains anonymised human lung computed tomography (CT) scans with COVID-19 related findings, as well as without such findings.
22 papers · 1 benchmark
BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies, polymerase chain reaction (PCR), immunoglobulin G…
9 papers · 0 benchmarks
2DeteCT (2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning)
Maximilian B.
5 papers · 0 benchmarks
CC-19 is a small new dataset related to the latest family of coronavirus i.e.
3 papers · 0 benchmarks
A public database of COVID-19 CXR and CT images, which are automatically extracted from COVID-19-relevant articles from the PubMed Central Open Access (PMC-OA) Subset.
2 papers · 0 benchmarks
"We built a large lung CT scan dataset for COVID-19 by curating data from 7 public datasets listed in the acknowledgements.
2 papers · 2 benchmarks
CPCXR (COVID-19 Posteroanterior Chest X-Ray fused)
The COVID-19 Posteroanterior Chest X-Ray fused (CPCXR) dataset is generated by the fusion of three publicly available datasets: COVID-19 cxr image, Radiological Society of North America (RSNA), and U.S.
1 paper · 0 benchmarks
A dataset of 663 deidentified computed tomography (CT) scans acquired in routine clinical practice and with both segmentations taken from clinical practice and segmentations.
1 paper · 0 benchmarks
Collections of images of the same rotating plastic object made in X-ray and visible spectra.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.