Find research datasets worth reusing

opencc-by-4.0Feb 2022View details →

Beyond depression and anxiety; a systematic review about the role of corticotropin-releasing hormone antagonists in diseases of the pelvic and abdominal organs-Worksheets

This file has several worksheets corresponding to the data used for the review with the same table as indicated in the file

opencc-by-4.0Jun 2024View details →

Merged Multi-Organ Abdominal CT Segmentation Dataset

Version 2.0 This version maintains the same dataset as Version 1.0, the only addition is the CSV metadata file. Please note that the BTCV images do not include metadata information.   Description The abdominal CT images and reference segmentations were drawn from three datasets: the <a href="https://doi.org/10.7303/syn3193805" target="_blank" rel="noopener">Beyond the Cranial Vault (BTCV) Abdomen dataset</a> [1], the <a href="https://amos22.grand-challenge.org/" target="_blank" rel="noopener">Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 dataset</a> [2], and the <a href="../records/10047292">TotalSegmentator dataset</a> [3]. Given the class differences among the three datasets, their consolidation requires the elimination of several classes, resulting in a unified dataset of 680 CT images comprising 12 classes common to all three, including: <ul> <li>Spleen</li> <li>Right Kidney</li> <li>Left Kidney</li> <li>Gallbladder</li> <li>Esophagus</li> <li>Liver</li> <li>Stomach</li> <li>Aorta</li> <li>Inferior Vena Cava</li> <li>Pancreas</li> <li>Right Adrenal Gland</li> <li>Left Adrenal Gland</li> </ul> The original work for which this dataset was created can be found in <a href="https://github.com/nicoalpis/Robust-Abdominal-Segmentation" target="_blank" rel="noopener">this GitHub repository</a>.    Terms of use The terms of use of this data set include the terms of use of the <a href="https://doi.org/10.7303/syn3193805">Beyond the Cranial Vault (BTCV) Abdomen dataset</a> (<a href="https://doi.org/10.7303/syn3193805">terms of use</a>; after <a href="https://www.synapse.org/#!Synapse:syn3193805/wiki/217753">registration</a>, you can <a href="https://www.synapse.org/#!Synapse:syn3376386">access the data</a>), <a href="https://amos22.grand-challenge.org/" target="_blank" rel="noopener">Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 dataset</a> (<a href="https://doi.org/10.5281/zenodo.7155725" target="_blank" rel="noopener">terms of use and data access</a>), and <a href="../records/10047292">TotalSegmentator dataset</a> (<a href="../records/10047292">terms of use and data access</a>). If you use these reference segmentations, please cite the references below. References [1] Landman BA, Xu Z, Igelsias JE, Styner M, Langerak TR, and Klein A, "MICCAI multi-atlas labeling beyond the cranial vault - workshop and challenge," 2015, https://doi.org/10.7303/syn3193805. [2] Ji, Yuanfeng, et al. "Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation." Advances in Neural Information Processing Systems 35 (2022): 36722-36732. [3] Wasserthal, J., Breit, H. C., Meyer, M. T., Pradella, M., Hinck, D., Sauter, A. W., ... & Segeroth, M. (2023). Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images. Radiology: Artificial Intelligence, 5(5).

opencc-by-4.0Oct 2002View details →

Figure 10. Abdominal coremata. A–D in A survey of androconial organs in the Riodinidae (Lepidoptera)

Figure 10. Abdominal coremata. A–D, Eunogyra satyrus Westwood, lateral view of abdominal tip with uncus at top, valvae at middle and partially everted coremata at bottom (A), everted coremata (B) and tip of coremata seta (C), and scales lining surface of coremata (D) magnified. Scale bars: A, B, 200 mm; C, D, 5 mm.

opencc-by-4.0Oct 2002View details →

Figure 9. Abdominal brush organs. A–C in A survey of androconial organs in the Riodinidae (Lepidoptera)

Figure 9. Abdominal brush organs. A–C, Nymphidium caricae (Linnaeus), lateral view of last two abdominal segments illustrating position of lateral brushes relative to in situ genitalia (A), ventral view of last abdominal segment with brushes laterally, uncus at top and last sternite and valvae at bottom (B), and sockets of brush setae magnified (C); Juditha azan (Westwood), lateral (D) and ventral (E) view of genitalia illustrating setal brush between base of valvae and pedicel, and socket and spiny surface of setal pad (F) and setal tip (G) magnified. Scale bars: A, B, D, E, 1 mm; C, 20 mm; F, 10 mm; G, 2 mm.

opencc-by-4.0Jul 2021View details →

Image Data Part 1 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem

Image Data Part 1 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem Paper: https://ieeexplore.ieee.org/document/9497733/

opencc-by-4.0Jul 2021View details →

Image Data Part 2 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem

Image Data Part 2 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem Paper: <a href="https://ieeexplore.ieee.org/document/9497733/">https://ieeexplore.ieee.org/document/9497733/</a>

opencc-by-4.0Jul 2021View details →

Image Data Part 3 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem

Image Data Part 3 of AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem <a href="https://ieeexplore.ieee.org/document/9497733/">Paper</a>: https://ieeexplore.ieee.org/document/9497733/   Other two parts: <a href="https://zenodo.org/record/5903099">Part 1</a>, <a href="https://zenodo.org/record/5903846">Part 2</a>

opencc-by-nc-sa-4.0Apr 2019View details →

CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data

This is the train and testing dataset of Combined (CT-MR) Healthy Abdominal Organ Segmentation (CHAOS) Challenge. This data consists of images of Abdominal CT and MRI from different patients. There are 20 training and 20 testing cases in the CT dataset. MRI dataset contains 20 training and 20 testing cases with T1-Dual and T2 SPIR sequences. Train data contains both DICOM images and their ground truth masks. The testing set only contains DICOM images. In CT cases only livers were annotated. In MRI cases, livers, left/right kidneys, and spleens were annotated. For further information about the data and challenge, please visit <a href="https://chaos.grand-challenge.org/">https://chaos.grand-challenge.org/</a> and read the <a href="https://www.dropbox.com/s/b8ka7tcxm45mlq4/CHAOS_Submission_Manual_new.pdf?dl=1">CHAOS_Submission_Manual.pdf</a> Important note: Ground truths/references of the test data are reserved for challenge validation and will never be shared publicly. Such requests will be ignored. Scientists may use this data not only join to the CHAOS challenge but also for other works as long as they give appropriate credit, provide a link to the license, and indicate if changes were made. Bibtex: <pre><code>@dataset{CHAOSdata2019, author = {Ali Emre Kavur and M. Alper Selver and Oğuz Dicle and Mustafa Barış and N. Sinem Gezer}, title = {{CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data}}, month = Apr, year = 2019, publisher = {Zenodo}, version = {v1.03}, doi = {10.5281/zenodo.3362844}, url = {https://doi.org/10.5281/zenodo.3362844} }</code></pre> IEEE Style: <pre><code>Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, and N. Sinem Gezer, "CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data". Zenodo, 11-Apr-2019.</code></pre> APA Style: <pre><code>Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, & N. Sinem Gezer. (2019). CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data (Version v1.03) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3362844</code></pre>

opencc-by-4.0Oct 2022View details →

Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation (Unlabeled Data Part I)

Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods. To mitigate the limitations, we present AMOS, a large-scale, diverse, clinical dataset for abdominal organ segmentation. AMOS provides 500 CT and 100 MRI scans collected from multi-center, multi-vendor, multi-modality, multi-phase, multi-disease patients, each with voxel-level annotations of 15 abdominal organs, providing challenging examples and test-bed for studying robust segmentation algorithms under diverse targets and scenarios. We further benchmark several state-of-the-art medical segmentation models to evaluate the status of the existing methods on this new challenging dataset. We have made our datasets, benchmark servers, and baselines publicly available, and hope to inspire future research. The paper can be found at https://arxiv.org/pdf/2206.08023.pdf In addition to providing the labeled 600 CT and MRI scans, we expect to provide 2000 CT and 1200 MRI scans without labels to support more learning tasks (semi-supervised, un-supervised, domain adaption, ...). The link can be found in: <ul> <li><a href="https://zenodo.org/deposit/7262581">labeled data (500CT+100MRI)</a></li> <li><a href="https://zenodo.org/record/7262757#.Y2iSQ9JBwYs">unlabeled data Part I (900CT)</a></li> <li><a href="https://zenodo.org/record/7295661#.Y2iR_9JBwYs">unlabeled data Part II (1100CT)</a> (Now there are 1000CT, we will replenish to 1100CT)</li> <li><a href="https://zenodo.org/record/7295816">unlabeled data Part III (1200MRI)</a></li> </ul> if you found this dataset useful for your research, please cite: <blockquote> <pre>@article{ji2022amos, title={AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation}, author={Ji, Yuanfeng and Bai, Haotian and Yang, Jie and Ge, Chongjian and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhang, Lingyan and Ma, Wanling and Wan, Xiang and others}, journal={arXiv preprint arXiv:2206.08023}, year={2022} }</pre> </blockquote>

opencc-by-4.0Oct 2022View details →

Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation (Unlabeled Data Part II)

ClinicalTrials.gov36/100

Long-term Effectiveness of Abdominal Sacrocolpopexy for the Treatment of Pelvic Organ Prolapse

ClinicalTrials.gov study NCT00099372. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

ClinicalTrials.gov36/100

Cytogam Administration in Abdominal Organ Transplant Recipients at High Risk for Cytomegalovirus Infection

ClinicalTrials.gov study NCT01509404. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

FIGURES 90–95 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 90–95. Suffrica gus sp. n., SEM views of female genitalia; (90) epigyne, ventral view; (91) as previous, detail of the opening, star indicates a piece of plug and arrows point to some tiny pores; (92) vulva, dorsal view; (93) as previous, detail of the posterior part of elongate spermathecae; (94) as previous, detail of entrance ducts; (95) detail of the "lollipop" epigynal glands. Scale bars (90, 92, 94) = 50 µm; (91, 93, 95) = 10 µm.

FIGURES 67–69 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 67–69. Suffrica gus sp. n. (CAS), male palp and female epigyne drawings; (67) male palp, ventral view; (68) as previous, retrolateral view; (69) female epigyne, ventral view. Scale bars = 0.1 mm.

FIGURES 74–81 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 74–81. Suffrica gus sp. n., SEM view of male and female (CAS); (74) male habitus, antero-dorsal view, arrows points to the abdominal glandular outlet; (75) male abdomen, dorsal view, arrows points to the abdominal glandular outlet; (76) male detail of the glandular outlet, dorsal view; (77) abdominal glandular outlet of the female, dorsal view; (78) as previous, detail; (79) male, inner view of the abdomen dorsum, arrow indicates the abdominal glandular outlet; (80) as previous, inner view of the glandular outlet; (81) as previous, detail, slightly oblique view. Scale bars (74, 75) = 0.5 mm; (76, 77, 80) = 50 µm; (78, 81) = 50 µm; (79) = 100 µm.

FIGURES 86–89 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 86–89. Suffrica gus sp. n. (CAS), SEM views of the male palp; (86) detail of the tibial apophyses, retrolateral view; (87) detail of the median apophysis, ventral view; (88) detail of the tegular apophysis, ventral view, arrow points to the small triangular extension on the embolus; (89) detail of the conductor, anterior view, arrows indicate the thin, needle-like extensions on the retromargin of the conductor. C = conductor, E = embolus, MA = median apophysis, TA = tegular apophysis. Scale bars = 50 µm.

FIGURES 82–85 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 82–85. Suffrica gus sp. n., SEM views of female (CAS). (82) distal part of metatarsus of leg II with detail on the chisel shaped setae, ventro-prolateral view, arrows point to the terminal ramified spines; (83) tarsal claw of leg III, anterodorsal view; (84) proximal part of tarsus of leg I, dorsal, slightly oblique view, asterisk indicates the tarsal organ; (85) left palpal tarsus, dorsal view. Scale bars = 50 µm.

FIGURES 60–63 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 60–63. Suffrica exotica sp. n., female paratype (MRAC 215732), SEM views of genitalia indicating the link between the tiny pore and the "lollipop" glands; (60) epigyne, ventral view; (61) as previous, detail; (62) vulva, dorsal view; (63) as previous, detail. S = setae, O = opening. Asterisks indicate the outlets of the "lollipop" glands. Scale bars (60, 62) = 50 µm; (61, 63) = 10 µm.

FIGURES 54–59 in On the new Afrotropical genus Suffrica with discovery of an abdominal gland and a dual femoral organ (Araneae, Zodariidae)

FIGURES 54–59. Suffrica exotica sp. n., female paratype (MRAC 215732), SEM views of genitalia; (54) epigyne, ventral view; (55) as previous, detail, arrows point to some of the tiny outlets of epigynal glands; (56) vulva, dorsal view; (57) as previous, dorso-lateral view; (58) as previous, detail; (59) detail of the "lollipop" epigynal glands. Scale bars (54, 56–58) = 50 µm; (55, 59) = 10 µm.