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The screenshots and GIFs are documentation derivatives, not clinical material. Source DICOM data are licensed under Creative Commons Attribution 4.0 International. No endorsement by the dataset creators, IDC, TCIA, NIH, or NCI is implied.

mr-seg-cine.gif — Breast DWI MR and DICOM SEG

Section titled “mr-seg-cine.gif — Breast DWI MR and DICOM SEG”

ACRIN 6698/I-SPY2 Breast DWI. Newitt, D. C., Partridge, S. C., Zhang, Z., et al. (2021, Version 1). https://doi.org/10.7937/TCIA.KK02-6D95

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.7695.4164.197935705864255073412256526155. Modifications: windowed, segmentation colorized, resampled, animated, cropped to the application viewport.

Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population. Desai, S., Baghal, A., Wongsurawat, T., et al. (2020, Version 1). https://doi.org/10.7937/TCIA.2020.PY71-5978

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.9999.103.1892998694410640266017914996862. Modifications: windowed, animated, cropped to the application viewport.

Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population. Desai, S., Baghal, A., Wongsurawat, T., et al. (2020, Version 1). https://doi.org/10.7937/TCIA.2020.PY71-5978

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.9999.103.7387851802783238061375077795803. Modifications: windowed, cropped to the application viewport.

The Chinese Mammography Database (CMMD): An online mammography database with biopsy confirmed types for machine diagnosis of breast. Cui, C., Li, L., Cai, H., Fan, Z., Zhang, L., Dan, T., Li, J., and Wang, J. (2021, Version 1). https://doi.org/10.7937/TCIA.EQDE-4B16

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.1239.1759.817188338697704141156927137894. Modifications: windowed, animated, cropped to the application viewport.

A whole-body PSMA-PET/CT dataset with manually annotated tumor lesions. Jeblick, K., Schachtner, B., Mittermeier, A., et al. (2026, Version 2). https://doi.org/10.7937/R7EP-3X37

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.153050364328304867324655664137435456205. Modifications: windowed, animated, cropped to the application viewport.

ultrasound-cine.gif — Liver biopsy ultrasound

Section titled “ultrasound-cine.gif — Liver biopsy ultrasound”

Cancer Moonshot Biobank - Melanoma Collection (CMB-MEL). Cancer Moonshot Biobank (2022, Version 12). https://doi.org/10.7937/GWSP-WH72

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.1.78620393996990384206084905721745347693. Modifications: animated, cropped to the application viewport.

rt-dose-context.png — RT Dose and referenced source chain

Section titled “rt-dose-context.png — RT Dose and referenced source chain”

Segmentation of Vestibular Schwannoma from Magnetic Resonance Imaging: An Open Annotated Dataset and Baseline Algorithm. Shapey, J., Kujawa, A., Dorent, R., et al. (2021, Version 2). https://doi.org/10.7937/TCIA.9YTJ-5Q73

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.118532755654767959890619646384959953910. Modifications: windowed, cropped to the application viewport.

wsi-context.png — DICOM whole-slide microscopy

Section titled “wsi-context.png — DICOM whole-slide microscopy”

GTEx: DICOM converted whole slide hematoxylin and eosin stained images from the Genotype-Tissue Expression (GTEx) Project. Clunie, D., GTEx Consortium, Clifford, W., Pot, D., Wagner, U., Kim, E., Sutton, G., and Fedorov, A. (2024). https://doi.org/10.5281/ZENODO.11099099

Series Instance UID: 1.3.6.1.4.1.5962.99.1.2218940421.790215425.1720205891589.4.0. Modifications: cropped to the application viewport.

Chest Imaging with Clinical and Genomic Correlates Representing a Rural COVID-19 Positive Population. Desai, S., Baghal, A., Wongsurawat, T., et al. (2020, Version 1). https://doi.org/10.7937/TCIA.2020.PY71-5978

Series Instance UID: 1.3.6.1.4.1.14519.5.2.1.9999.103.1892998694410640266017914996862. Modifications: windowed, animated, captioned, captured in a controlled VS Code development host.

Retrieved from NCI Imaging Data Commons (v24) using idc-index. Fedorov, A., Longabaugh, W. J. R., Pot, D., et al. (2023). National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. RadioGraphics, 43(12). https://doi.org/10.1148/rg.230180